Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Dempster- Shafer" wg kryterium: Temat

  Lista filtrów

Dostawca treści

Wyrównaj
Wyświetlanie 1-15 z 20
Tytuł:
Method of analysis of measurement result cohesion with the theory of mathematical record using and concentrations analysis
Metoda analizy spójności wyników pomiarów z wykorzystaniem teorii ewidencji matematycznej i analizy skupień
Autorzy:
Topolska, K.
Walkowiak, W.
Topolski, M.
Powiązania:
https://bibliotekanauki.pl/articles/243097.pdf
Data publikacji:
2007
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
modelowanie
trwałość
Dempster- Shafer
statystyka
modelling
durability
Dempster-Shafer theory
Statistica
Opis:
This study presents method of selection the most coherent, repeatable in time, results of researches. Firstly, a possible of application of concentration analysis for detection of variable or dependent variable, which results are different from other variables, is presented. Because some results of the same variable in time periods could influence on increase of results standard error, for such points detection, measure using mathematic filing system theory, Spearman's correlation ordinal ranks and weight of information contradiction, in sense of Dampster-Shafer theory, are proposed. The obtained measure cause decrease of results standard errors by selection and removal of measure points which influence on validity scales decrease. Example-results of the measurement, the analysis of concentrations for variable Y1, Y2, Y3 and Y4, results of the normalization for each result of measurements, average values of measurement for all received results BZ and for selected MODELS, results of measurement marked curves of average data for all BZ measurements and measurement selected of MODEL least standard-errors are presented in the paper.
W artykule zastała przedstawiona metoda doboru najbardziej spójnych wyników pomiarów powtarzanych w czasie. W pierwszej części zaprezentowano możliwość zastosowania analizy skupień do wykrycia zmiennej bądź zmiennych zależnych, których wyniki różnią się od pozostałych zmiennych. Ponieważ niektóre wyniki pomiarów tej samej zmiennej w odstępach czasu mogą wpływać na zwiększanie błędu standardowego wyników, więc w celu wykrycia takich punktów zaproponowano miarę wykorzystującą teorię ewidencji matematycznej, korelację rang porządkowych Spearmana i wagę sprzeczności informacji w sensie teorii Dempstera-Shafera. Uzyskana miara pozwoliła na obniżenie błędów standardowych pomiarów, przez wyselekcjonowanie i usunięcie punktów pomiarowych, które wpływają na zmniejszenie rzetelności skal. W szczególności w artykule przedstawiono przykładowe wyniki pomiaru, analiza skupień dla zmiennych Y1, Y2, Y3 i Y4, wyniki normalizacji dla poszczególnych wyników pomiarów, uśrednione wartości pomiarów dla wszystkich otrzymanych wyników BZ i dla wyselekcjonowanych MODELI, wyniki pomiarów wraz z naniesionymi krzywymi uśrednienia danych dla wszystkich pomiarów BZ i pomiarów wyselekcjonowanych o najmniejszych błędach standardowych MODELI.
Źródło:
Journal of KONES; 2007, 14, 2; 521-528
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Semantic Place Labeling Method
Autorzy:
Siemiatkowska, B.
Harasymowicz-Boggio, B.
Chechlinski, Ł.
Powiązania:
https://bibliotekanauki.pl/articles/384729.pdf
Data publikacji:
2015
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
mapping
classification
Dempster-Shafer theory
Opis:
The paper presents a method of semantic localization of a mobile robot. The robot is equipped with a Sick laser finder and a Kinect sensor. The simplest source of informa tion about an environment is a scan obtained by the range sensor. The polygonal approximation of an observed area is performed. The shape of the polygon allows us to distinguish corridors from other places using a simple rule based system. During the next step rooms are classified based on objects which have been recognized. Each object votes for a set of classes of rooms. In a real environment we deal with uncertainty. Usually probabilistic theory is used to solve the problem but it is not capable of capturing subjective uncertainty. In our approach instead of the classic Bayesian method we proposed to perform classification using Dempster-Shafer theory (DST), which can be regarded as a generalization of the Bayesian theory and is able to deal with subjective uncertainty. The experiments performed in real office environment proved the efficiency of our approach.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 1; 28-33
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Genetic tuning fuzzy dempster-shafer decision rules
Autorzy:
Walijewski, J. S.
Sosnowski, Z. A.
Powiązania:
https://bibliotekanauki.pl/articles/1931591.pdf
Data publikacji:
2002
Wydawca:
Politechnika Gdańska
Tematy:
genetic algorithms
fuzzy modelling
Dempster-Shafer theory
Opis:
The objective of this paper is to employ the Dempster-Shafer theory (DST) as a vehicle supporting the generation of fuzzy decision rules. The concept of fuzzy granulation realized via fuzzy clustering is aimed at the discretization of continuous attributes. Next we use Genetic for tuning fuzzy decision rules. Detailed experimental studies are presented concerning well-known medical data sets available on the Web.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2002, 6, 4; 631-640
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The extent of the unconfined aquifer based on the Dempster-Shafer theory on the example of postglacial sandur area
Autorzy:
Kachnic, M.
Powiązania:
https://bibliotekanauki.pl/articles/2063008.pdf
Data publikacji:
2010
Wydawca:
Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
Tematy:
unconfined aquifer
shallow aquifer
Dempster-Shafer theory
probabilistic
Opis:
The research aimed to present an application of the technique based on the Dempster-Shafer theory for the determination of the shallow unconfined aquifer extent in a nonparametric (probabilistic) scale. The geology of research area is predominantly composed of the Pleistocene postglacial sediments. Only unconfined aquifers were taken into account in the study described in these paper. The resulting image showed a map of the aquifers’ extents in a probabilistic scale i.e. in a range between 0 (the lack of the aquifer, which is confirmed by research) and 1 (confirms the occurrence of the aquifer proved by research). Data analyses were carried out in the Geographic Information System. All the data were imported to the IDRISI. The Dempster-Shafer probability theory supported by the module BELIEF of IDRISI software was applied to the algebra of pixel maps.
Źródło:
Biuletyn Państwowego Instytutu Geologicznego; 2010, 441 Hydrogeologia z. 10; 55--61
0867-6143
Pojawia się w:
Biuletyn Państwowego Instytutu Geologicznego
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dempster–Shafer Theory for Risk Assessment in Project Management
Autorzy:
Łabędzka, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/22180856.pdf
Data publikacji:
2022-12-30
Wydawca:
Politechnika Częstochowska
Tematy:
Dempster–Shafer theory
project management
risk assessment
uncertainty
Opis:
Project management (PM) involves decision-making processes related to reaching project goals, resources allocation, timelines, intended outputs, outcomes, long-term impacts, etc. Decisions create challenges for those involved in leading and managing projects, such as information overload, time constraints, uncertainty, and biases. Decision-making in PM is especially supported by risk analysis focused on the identification and assessment of factors that could affect (positively or negatively) a successful project delivery. Uncertainty in estimating project risks is considered one of the major challenges in Management Science. The paper draws attention to the root cause of uncertainty in human reasoning in relation to decision-making processes with particular emphasis on risk analysis. A literature review revealed that the area of risk assessment in PM has been dominated by qualitative methods that do not take uncertainty into account. Therefore, the main objective of this paper was to apply the Dempster–Shafer theory (DST), which provides a framework for representing uncertainties by allowing beliefs to not be assigned to a specific subset. Accordingly, the applied research design was employed in this study. The re-search sample included 60 experts that assessed project risks. In order to determine the belief (Bel) and plausibility (Pl) functions, all the evidence was combined using Dempster’s rule of combination, in order to arrive at quantified beliefs. The final results of the study showed that this evidence-based framework for project risk assessment is applicable and easy to use, even for a large number of experts and could support PM practitioners in risk management and decision-making.
Źródło:
Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie; 2022, 48; 100-112
2083-1560
Pojawia się w:
Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An approach to generalization of the intuitionistic fuzzy topsis method in the framework of evidence theory
Autorzy:
Dymova, Ludmila
Kaczmarek, Krzysztof
Sevastjanov, Pavel
Sułkowski, Łukasz
Przybyszewski, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/2031132.pdf
Data publikacji:
2021
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
TOPSIS
intuitionistic fuzzy sets
Dempster-Shafer theory
aggregating modes
Opis:
A generalization of technique for establishing order preference by similarity to the ideal solution (TOPSIS) in the intuitionistic fuzzy setting based on the redefinition of intuitionistic fuzzy sets theory (A−IFS) in the framework of Dempster-Shafer theory (DST) of evidence is proposed. The use of DST mathematical tools makes it possible to avoid a set of limitations and drawbacks revealed recently in the conventional Atanassov’s operational laws defined on intuitionistic fuzzy values, which may produce unacceptable results in the solution of multiple criteria decision-making problems. This boosts considerably the quality of aggregating operators used in the intuitionistic fuzzy TOPSIS method. It is pointed out that the conventional TOPSIS method may be naturally treated as a weighted sum of some modified local criteria. Because this aggregating approach does not always reflects well intentions of decision makers, two additional aggregating methods that cannot be defined in the framework of conventional A−IFS based on local criteria weights being intuitionistic fuzzy values, are introduced. Having in mind that different aggregating methods generally produce different alternative rankings to obtain the compromise ranking, the method for aggregating of aggregation modes has been applied. Some examples are used to illustrate the validity and features of the proposed approach.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 2; 157-175
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mathematical theory of evidence in maritime traffic engineering
Autorzy:
Filipowicz, W.
Powiązania:
https://bibliotekanauki.pl/articles/248099.pdf
Data publikacji:
2008
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
sea transport
fuzziness
evidential theory
Dempster-Shafer fuzzy reasoning
Opis:
Nowadays operator at maritime traffic monitoring station is assumed to have access to a great amount of data. Information come from different sources and the data are generated by multiple of sensors. Multiple sources of data create challenge regarding data association. The challenge is met by data fusion. By means of fusion, different sources of information are combined to arrive at proper final decision. Ship's presence within a confined area defines a non-empty bounded closed interval. It can be denoted by the earliest and latest bounds of the closed time interval at a given possibility level. To assess situation within any confined region one should take into account total of safety factors of all ships present within forecast imprecise slots of time. Safety factors enable vessels' classification regarding potential consequences of an accident. In general approach environmentally dangerous freight and huge tonnage increase the factor. Safety factors are treated as fuzzy, imprecise values. Small ranges of values are assigned to small craft without dangerous cargo. The largest intervals are reserved for huge crude carriers. Associated data enable the VTS operator to approximate congestion for each restricted and considered as important areas. To forecast and assess situation within such areas all ships are to be identified and classified. The process usually involves uncertainty, ambiguity and partiality in available evidence. The new AIS technology itself causes ambiguity with respect to identification of crafts. Published statistics point at incorrect data transferred in the system. Therefore partial evidence is to be taken into account while identifying objects. Dempster-Shafer reasoning is helpful when combining evidence in order to refine objects. Situation in which one spotted new target and tries to find out what ship this could be is considered. Fuzzy evidence embraced within frame of discernment and related to this identification case will be assumed.
Źródło:
Journal of KONES; 2008, 15, 3; 129-137
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The basic probability assignment as a measure of diagnostic rules significance
Autorzy:
Straszecka, E.
Powiązania:
https://bibliotekanauki.pl/articles/333449.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
diagnostic rules
fuzzy sets
Dempster-Shafer theory
diagnostyka
zbiory rozmyte
teoria Dempster-Shafera
Opis:
Diagnostic rules are usually IF-THEN rules, but they should satisfy specific requirements of a diagnosis. Thus, not always the classical methods of rules determination are applicable. In the present paper it is suggested to find out the set of rules by an elimination of superfluous rules from the maximal rule set or adding rules that improve inference to the minimal set of rules. It is shown that the basic probability assignment determined in the Dempster-Shafer theory of evidence can be used as a measure indicating symptoms that are the most significant for a diagnosis and should create rules. A set of IF-THEN rules with fuzzy premises and crisp conclusions can be built in this way. The proposed method is illustrated by determining rules allowing for diagnostic inference for a database of thyroid gland diseases.
Źródło:
Journal of Medical Informatics & Technologies; 2013, 22; 95-102
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Probabilistic evaluation of the extent of the unconfined aquifer
Autorzy:
Kachnic, M.
Sadurski, A.
Powiązania:
https://bibliotekanauki.pl/articles/2065894.pdf
Data publikacji:
2005
Wydawca:
Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
Tematy:
Dempster-Shafer theory
fuzzy logic
probabilistic scale
nonparametric maps
aquifer extent
Opis:
The research mainly aimed to present a novel application of the technique based on the Dempster-Shafer theory for the determination of the aquifer extent in a nonparametric (probabilistic) scale. Data analyses were carried out in the Geographic Information System. All the data were imported to the IDRISI 32 release 2. The Dempster-Shafer probability theory supported by the module BELIEF of IDRISI software was applied to the algebra of pixel maps. The research area covers 1300 km^2 in the eastern part of the Pomeranian Lakeland. The geology of this area is dominated by Pleistocene postglacial sediments. The study area comprises unconfined aquifers and four main confined aquifers. Only the unconfined aquifers were taken into account in the study described in these paper. The resulting image showed a map of the aquifers’ extents in a probabilistic scale, i.e., in a range between 0 (lack of the aquifer confirmed by field research) and 1 (occurrence of the aquifer, also proved by research).
Źródło:
Przegląd Geologiczny; 2005, 53, 10/2; 930-934
0033-2151
Pojawia się w:
Przegląd Geologiczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fundamentals of the Dempster-Shafer theory and its applications to system safety and reliability modelling
Autorzy:
Rakowsky, U. K.
Powiązania:
https://bibliotekanauki.pl/articles/2069603.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
Dempster-Shafer theory
evidence
uncertainty
expert assessment
event tree analysis
fault tree analysis
Opis:
The Dempster-Shafter Theory is well-known for its usefulness to express uncertain judgments of experts. This contribution shows how to apply the calculus to safety and reliability modelling, especially to expert judgement; Failure Modes, Effects, and Criticality Analysis; Event Tree Analysis, Fault Tree Analysis, and Reliability Centred Maintenance. Including a tutorial introduction to the Dempster-Shafer Theory, the differences between the Probability and the Dempster-Shafer Theory are discussed widely.
Źródło:
Journal of Polish Safety and Reliability Association; 2007, 2; 283--295
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tworzenie reguł diagnostycznych na podstawie danych
Data-based creation of diagnostic rules
Autorzy:
Straszecka, E.
Powiązania:
https://bibliotekanauki.pl/articles/156042.pdf
Data publikacji:
2014
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
zbiory rozmyte
teoria Dempstera-Shafera
reguły diagnostyczne
fuzzy sets
Dempster-Shafer theory
diagnostic rules
Opis:
W pracy przedstawiono metodę tworzenia reguł diagnostycznych o rozmytych przesłankach reprezentujących objawy i nierozmytej konkluzji odpowiadającej diagnozie. Reguły tworzy się na podstawie danych uczących, lecz są one zrozumiałe dla ekspertów i mogą być przez nich weryfikowane. Zbiór reguł dla każdej z diagnoz jest ustalany odrębnie, z zastosowaniem oryginalnego algorytmu eliminacji reguł. Obliczenia dla dwóch benchmarkowych baz danych potwierdzają efektywność proponowanych metod.
A method of diagnostic rule creation is presented in the paper. The rules have fuzzy premises that represent symptoms and a crisp conclusion relevant to the diagnosis. Each rule has an assigned weight that is determined as a value of the basic probability assignment defined in the Dempster-Shafer theory. Having created the rules, there is performed the diagnostic reasoning for a consulted case whose outcomes are values of the Bel belief measure (of the Dempster-Shafer theory) for all diagnostic hypotheses. The hypothesis of the maximal belief is the ultimate conclusion. Membership functions of symptoms and the basic probability assignment are found from the training data. Although the rules are created by means of data, they are understandable for human experts who can interpret and verified them. An individual set of rules is provided for each diagnosis. It results from an original elimination algorithm that is proposed in the paper. The elimination process starts from the complete set of rules and the algorithm indicates rule(s) of the lowest diagnostic significance, which are next deleted. Numerical experiments for two benchmark databases show the properties of the proposed method.
Źródło:
Pomiary Automatyka Kontrola; 2014, R. 60, nr 4, 4; 219-222
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Membership Functions for Fuzzy Focal Elements
Autorzy:
Porębski, S.
Straszecka, E.
Powiązania:
https://bibliotekanauki.pl/articles/229232.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
diagnostic rule extraction
medical diagnosis support
fuzzy focal elements
membership functions
Dempster-Shafer theory
Opis:
The paper presents a study on data-driven diagnostic rules, which are easy to interpret by human experts. To this end, the Dempster-Shafer theory extended for fuzzy focal elements is used. Premises of the rules (fuzzy focal elements) are provided by membership functions which shapes are changing according to input symptoms. The main aim of the present study is to evaluate common membership function shapes and to introduce a rule elimination algorithm. Proposed methods are first illustrated with the popular Iris data set. Next experiments with five medical benchmark databases are performed. Results of the experiments show that various membership function shapes provide different inference efficiency but the extracted rule sets are close to each other. Thus indications for determining rules with possible heuristic interpretation can be formulated.
Źródło:
Archives of Control Sciences; 2016, 26, 3; 395-427
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Rapid Monitoring Method for Natural Gas Safety Monitoring
Autorzy:
Li, Rongli
Fan, Yuexin
Powiązania:
https://bibliotekanauki.pl/articles/1844534.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
trend judgment
CUSUM
Dempster-Shafer evidence theory
Gauss-Newton nonlinear fitting
fast alarm monitoring
concentration prediction
Opis:
The quick leakage alarm and the accurate concentration prediction are two important aspects of natural gas safety monitoring. In this paper, a rapid monitoring method of sensor data sharing, rapid leakage alarm and simultaneous output of concentrations prediction is proposed to accelerate the alarm speed and predict the possible impact of leakage. In this method, the Dempster-Shafer evidence theory is used to fuse the trend judgment and the CUSUM (cumulative sum) and the Gauss-Newton iteration is used to predict the concentration. The experiment system based on the TGS2611 natural gas sensor was built. The results show that the fusion method is significantly better than the single monitoring method. The alarm time of fusion method was more advanced than that of the CUSUM method and the trend method (being averagely, 10.4% and 7.6% in advance in the CUSUM method and the trend method respectively). The relative deviations of the predicted concentration were the maximum (13.3%) at 2000 ppm (parts per million) and the minimum (0.8%) at 6000 ppm, respectively.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 3; 325-330
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An approach to exponentiation with interval-valued power
Autorzy:
Tikhonenko-Kędziak, A.
Kurkowski, M.
Powiązania:
https://bibliotekanauki.pl/articles/122552.pdf
Data publikacji:
2016
Wydawca:
Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:
IVFS
interval-values fuzzy sets
DST
Dempster-Shafer theory
operations on IVFS’s
teoria Dempster-Shafera
zbiory rozmyte
interwałowe zbiory rozmyte
Opis:
The main aim of the work is introducing an operation of raising intuitionistic fuzzy values to intuitionistic fuzzy power, which not requiring to conversion of intuitionistic fuzzy values. Introducing an operation of raising intuitionistic fuzzy values to intuitionistic fuzzy power, which does not require conversion of intuitionistic fuzzy values is the main aim of the work. It is known that, in the classical intuitionistic fuzzy sets theory, the use of all aggregation modes is not always possible because of the lack of definition of raising intuitionistic fuzzy values to intuitionistic fuzzy power. Therefore, the specific aim of the work is to present the heuristic method of raising intuitionistic fuzzy values to intuitionistic fuzzy power, and the consideration of its properties.
Źródło:
Journal of Applied Mathematics and Computational Mechanics; 2016, 15, 4; 157-169
2299-9965
Pojawia się w:
Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automated approach to classification of mine-like objects using multiple-aspect sonar images
Autorzy:
Wang, X.
Liu, X.
Japkowicz, N.
Matwin, S.
Powiązania:
https://bibliotekanauki.pl/articles/91790.pdf
Data publikacji:
2014
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
object
sea bed
multiple side-scan sonar
Dempster-Shafer theory
DS concept
classifier
imbalance
imbalanced problem
multi-instance class
Opis:
In this paper, the detection of mines or other objects on the seabed from multiple side-scan sonar views is considered. Two frameworks are provided for this kind of classification. The first framework is based upon the Dempster–Shafer (DS) concept of fusion from a single-view kernel-based classifier and the second framework is based upon the concepts of multi-instance classifiers. Moreover, we consider the class imbalance problem which is always presents in sonar image recognition. Our experimental results show that both of the presented frameworks can be used in mine-like object classification and the presented methods for multi-instance class imbalanced problem are also effective in such classification.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2014, 4, 2; 133-148
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 20

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies