Temat: pattern recognition - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Membrain neural network for visual pattern recognition
Autorzy:: Popko, A.
Jakubowski, M.
Wawer, R.
Powiązania:: https://bibliotekanauki.pl/articles/103198.pdf
Data publikacji:: 2013
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: neural network
pattern recognition
neuron model
Opis:: Recognition of visual patterns is one of significant applications of Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intelligence. In the paper, a simplified neural approach to recognition of visual patterns is portrayed and discussed. This paper is dedicated for investigators in visual patterns recognition, Artificial Neural Networking and related disciplines. The document describes also MemBrain application environment as a powerful and easy to use neural networks’ editor and simulator supporting ANN.
Źródło:: Advances in Science and Technology. Research Journal; 2013, 7, 18; 54-59
2299-8624
Pojawia się w:: Advances in Science and Technology. Research Journal
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Signature recognition with a hybrid approach combining modular neural networks and fuzzy logic for response integration
Autorzy:: Beltrán, M.
Melin, P.
Trujillo, L.
Lopez, M.
Powiązania:: https://bibliotekanauki.pl/articles/384541.pdf
Data publikacji:: 2010
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: pattern recognition
neural networks
fuzzy logic
Opis:: This paper describes a modular neural network (MNN) with fuzzy integration for the problem of signature recognition. Currently, biometric identification has gained a great deal of research interest within the pattern recognition community. For instance, many attempts have been made in order to automate the process of identifying a person’s handwritten signature; however this problem has proven to be a very difficult task. In this work, we propose a MNN that has three separate modules, each using different image features as input, these are: edges, wavelet coefficients, and the Hough transform matrix. Then, the outputs from each of these modules are combined using a Sugeno fuzzy integral and a fuzzy inference system. The experimental results obtained using a database of 30 individual’s shows that the modular architecture can achieve a very high 99.33% recognition accuracy with a test set of 150 images. Therefore, we conclude that the proposed architecture provides a suitable platform to build a signature recognition system. Furthermore we consider the verification of signatures as false acceptance, false rejection and error recognition of the MNN.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 1; 20-27
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Irregular colour pattern recognition using the Hough transform
Autorzy:: Żorski, W.
Foxon, B.
Blackledge, J.
Turner, M.
Powiązania:: https://bibliotekanauki.pl/articles/273335.pdf
Data publikacji:: 2001
Wydawca:: Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
Tematy:: Hough transform
pattern recognition
irregular patterns
Opis:: This paper presents an application of the Hough Transform to the tasks of learning and identifying irregular patterns in a computer vision system. The method presented is based on the Hough Transform with a parameter space defined by translation, rotation and scaling operations. A fundamental element of this method is the generalisation of the Hough Transform for grey-level and colour images. The technique may be used in a robotic system, identification system or for image analysis.
Źródło:: Biuletyn Instytutu Automatyki i Robotyki; 2001, R. 7, nr 15, 15; 27-42
1427-3578
Pojawia się w:: Biuletyn Instytutu Automatyki i Robotyki
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Design of fuzzy rule-based classifiers through granulation and consolidation
Autorzy:: Riid, A.
Preden, J.-S.
Powiązania:: https://bibliotekanauki.pl/articles/91638.pdf
Data publikacji:: 2017
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: pattern recognition
fuzzy classification
complexity reduction
Opis:: This paper addresses the issue how to strike a good balance between accuracy and compactness in classification systems - still an important question in machine learning and data mining. The fuzzy rule-based classification approach proposed in current paper exploits the method of rule granulation for error reduction and the method of rule consolidation for complexity reduction. The cooperative nature of those methods - the rules are split in a way that makes efficient rule consolidation feasible and rule consolidation itself is capable of further error reduction - is demonstrated in a number of experiments with nine benchmark classification problems. Further complexity reduction, if necessary, is provided by rule compression.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 2; 137-147
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Application of stereology for assessment of two-phase flow structures
Autorzy:: Masiukiewicz, M.
Ulbrich, R.
Zając, D.
Powiązania:: https://bibliotekanauki.pl/articles/175510.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: stereological analysis
two-phase flow pattern
pattern recognition
Opis:: This paper describes a method for two-phase flow structures evaluation of gas-liquid mixture based on theoretical assumptions for the stereology in materials science. This assessment is based on the analysis of digital images, obtained with a high-speed camera. The bright field technique was used for process visualization. The images obtained during the visualisation were, in fact, projections of the structures. For the given recording conditions, the stereological analysis applied was based on the linear method and on the method of random and directed secants. The new methods of determining important parameters of two-phase flow were proposed on the basis of collected data. The parameters are as follows: the volume fraction, the interfacial area, the number of objects in one of the phases of the mixture and two other structural parameters of the selected two-phase fluid obtained from the analysis of the two-dimensional image (average length of chords for projected objects, average free distance for convex shapes from the projection).
Źródło:: Transactions of the Institute of Fluid-Flow Machinery; 2013, 125; 39-54
0079-3205
Pojawia się w:: Transactions of the Institute of Fluid-Flow Machinery
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Application of pattern recognition methods to automatic identification of microscopic images of rocks registered under different polarization and lighting conditions
Autorzy:: Ślipek, B.
Młynarczuk, M.
Powiązania:: https://bibliotekanauki.pl/articles/184708.pdf
Data publikacji:: 2013
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: pattern recognition
automatic rock classification
image processing
Opis:: The paper presents the results of the automatic classification of rock images, taken under an optical microscope under different lighting conditions and with different polarization angles. The classification was conducted with the use of four pattern recognition methods: nearest neighbor, k-nearest neighbors, nearest mode, and optimal spherical neighborhoods on thin sections of five selected rocks. During research the CIELAB color space and the 9D feature space were used. The results indicate that changing both lighting conditions and polarization angles results in worsening the classification outcome, although not substantially. Duduring the automatic classification of rocks photographed under different lighting and polarization conditions, the highest number of correctly classified rocks (97%) is given by the nearest neighbor method. The results show that the automatic classification of rocks is possible within a predefined group of rocks. The results also indicate the optimal spherical neighborhoods method to be the safest method out of those tested, which means that it returns the lowest number of incorrect classifications.
Źródło:: Geology, Geophysics and Environment; 2013, 39, 4; 373-384
2299-8004
2353-0790
Pojawia się w:: Geology, Geophysics and Environment
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: A survey of old and new results for the test error estimation of a classifier
Autorzy:: Anguita, D.
Ghelardoni, L.
Ghio, A.
Ridella, S.
Powiązania:: https://bibliotekanauki.pl/articles/91667.pdf
Data publikacji:: 2013
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: classifier
error
estimation
machine learning
pattern recognition
Opis:: The estimation of the generalization error of a trained classifier by means of a test set is one of the oldest problems in pattern recognition and machine learning. Despite this problem has been addressed for several decades, it seems that the last word has not been written yet, because new proposals continue to appear in the literature. Our objective is to survey and compare old and new techniques, in terms of quality of the estimation, easiness of use, and rigorousness of the approach, so to understand if the new proposals represent an effective improvement on old ones.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2013, 3, 4; 229-242
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Response Integration in Ensemble Neural Networks using The Sugeno Integral and Fuzzy Inference System for Pattern Recognition
Autorzy:: Lopez, M.
Melin, P.
Powiązania:: https://bibliotekanauki.pl/articles/384555.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: ensemble neural networks
fuzzy logic
pattern recognition
fingerprint recognition
Opis:: Combining the outputs of multiple neural networks has been used in Ensemble architectures to improve the decision accuracy in many applications fields, including pattern recognition, in particular for the case of fingerprints. In this paper, we describe a set of experiments performed in order to find the optimal individual networks in terms of the architecture and training rule. In the second step, we used the fuzzy Sugeno Integral to integrate results of the ensemble neural networks. This method combines objective evidence in the form of the network's outputs, with subjective measures of their performance. In the third step, we used a Fuzzy Inference System for the decision process of finding the output of the ensemble neural networks, and finally a comparison of experimental results between Fuzzy Sugeno Integral and the Fuzzy Inference System are presented.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 52-58
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Review of face recognition algorithms
Autorzy:: BUKOWSKI, MICHAŁ
Powiązania:: https://bibliotekanauki.pl/articles/1798781.pdf
Data publikacji:: 2021-04-21
Wydawca:: Wyższa Szkoła Policji w Szczytnie
Tematy:: face recognition
biometrics
image processing
pattern recognition
neural network
Opis:: Information technology of the 20th and 21st centuries “opened the way” to the automatic assessment of anthropometric facial features, facial gestures and other characteristic behaviours. Recognition is a very complex technical problem with a signifi cant practical effect. There are dedicated applications for this purpose. The article presents face recognition algorithms for 2D images, for three-dimensional spaces, and methods using neural networks. Linear and nonlinear, local and global, and hybrid methods of facial recognition are presented. The study understands the strengths and weaknesses of the laws governing the use of face recognition technology and, if possible, analyses their effi ciency. The methodological review has been created in connection with the idea of the author’s own fast algorithms and facial recognition.
Źródło:: Przegląd Policyjny; 2020, 140(4); 209-243
0867-5708
Pojawia się w:: Przegląd Policyjny
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: A Look Inside the Artificial Immune Algorithm Inspired by Clonal Selection Principle
Autorzy:: Trojanowski, K.
Grzegorzewski, M.
Powiązania:: https://bibliotekanauki.pl/articles/92836.pdf
Data publikacji:: 2006
Wydawca:: Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:: CLONALG
clonal selection principle
CLONCLAS
pattern recognition
Opis:: Artificial Immune Systems inspired by clonal selection principle (called clonal selection algorithms) have already been successfully applied to pattern recognition tasks. In this paper we present our implementation of one of them, called CLONCLAS, and discuss its behavior in application to recognition of a set of binary patterns. The algorithm performs process of learning based on a set of training data including patterns which belong to ten previously unknown classes and finally generates a group of classifiers which are able to assign the testing input patterns to appropriate classes. Our experiments were performed for a set of commonly known similarity measures of binary strings to select the most efficient of them. We also observed a phenomenon of transformation of memory contents in subsequent phases of iterated process of the system learning.
Źródło:: Studia Informatica : systems and information technology; 2006, 1(7); 147-160
1731-2264
Pojawia się w:: Studia Informatica : systems and information technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: Intelligent pattern recognition of SLM machine energy data
Autorzy:: Uhlmann, E.
Pastl Pontes, R.
Laghmouchi, A.
Hohwieler, E.
Feitscher, R.
Powiązania:: https://bibliotekanauki.pl/articles/99469.pdf
Data publikacji:: 2017
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: pattern recognition
data analysis
additive manufacturing
energy data
Opis:: Selective Laser Melting (SLM) is an additive manufacturing process, in which the research has been increasing over the past few years to meet customer-specific requirements. Different parameters from the process and the machine components have been monitored in order to obtain vital information such as productivity of the machine and quality of the manufactured workpiece. The monitoring of parameters related to energy is also realized, but the utilisation of such data is usually performed for determining basic information, for instance, from energy consumption. By applying machine learning algorithms on these data, it is possible to identify not only the steps of the manufacturing process, but also its behaviour patterns. Along with these algorithms, evidences regarding the conditions of components and anomalies can be detected in the acquired data. The results can be used to point out the process errors and component faults and can be adopted to analyse the energy efficiency of the SLM process by comparing energy consumption of one single layer during the manufacturing of different components. Moreover, the state of the manufacturing process and the machine can be determined automatically and applied to predict failures in order to launch appropriate counter measures.
Źródło:: Journal of Machine Engineering; 2017, 17, 2; 65-76
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 12.

Tytuł:: Determination of the relationship between EMG signals and hand grips using a commercial Myo armband
Autorzy:: Błędowski, Michał
Wołczowski, Andrzej
Powiązania:: https://bibliotekanauki.pl/articles/384246.pdf
Data publikacji:: 2019
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: EMG signals
electromyography
pattern recognition
hand bioprosthesis control
Opis:: The work discusses the construction of a measurement system for determining the relationship between EMG signals and hand grip movements. The relationship is necessary for the synthesis of control of the hand bioprosthesis. The measurement system is based on commercial Myo armband with EMG signals sensors and sensory glove with bend and pressure sensors. There are presented possibilites, advantages and disadvantages of such approach.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2019, 13, 2; 40-47
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 13.

Tytuł:: Two smart tools for control chart analysis
Autorzy:: Hamrol, A.
Kujawińska, A.
Powiązania:: https://bibliotekanauki.pl/articles/384657.pdf
Data publikacji:: 2009
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: process
control chart
process stability
trend
pattern recognition
Opis:: The paper deals with the analysis of process stability with the use of process control charts. A new idea of pattern recognition and two original methods of data processing, called OTT and MW have been described. The software application CCAUS (Control Charts - Analysis Unnatural Symptoms) supporting process control charts analysis withOTT and MW has been presented as well. Also the paper contains the results of the verification of the proposed methods performed on the basis of data obtained from two machining operations.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2009, 3, 3; 90-95
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 14.

Tytuł:: Niektóre aspekty przetwarzania obrazów wizualnych
Some aspects of visual images processing
Autorzy:: Młodkowski, Jan
Powiązania:: https://bibliotekanauki.pl/articles/2139558.pdf
Data publikacji:: 2007
Wydawca:: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:: pattern recognition
optical picture construction
visual image processing
Opis:: Image is a fundamental concept for the subject being presented. The word “image” has especially multiple meanings. This paper contains some connotations of the notion of image with common knowledge, philosophy, physics, physiology and psychology. As the general conclusion coming from the presented review is the approval of the conception of image as a contemporary mentality paradigm. Philosophers actually tested if the world without the image as a constructional element is possible and how it could look like, and if the image is possible to exist without its object. In the cognitive psychology image processing is interpreted depending on the position regarding the number of existing codes. This paper refers to the author’s opinion that content processing depends on the form, vocabulary and alphabet that are used to express this content. The specificity of visual image processing is characterized by multidimensionality, adaptivity, intermodality and elasticity. These notions are explained in the paper.
Źródło:: Acta Universitatis Lodziensis. Folia Psychologica; 2007, 11; 161-173
2353-4842
Pojawia się w:: Acta Universitatis Lodziensis. Folia Psychologica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 15.

Tytuł:: On fuzzy sets
Autorzy:: Ostasiewicz, Walenty
Powiązania:: https://bibliotekanauki.pl/articles/748056.pdf
Data publikacji:: 1980
Wydawca:: Polskie Towarzystwo Matematyczne
Tematy:: Fuzzy set theory, Pattern recognition, speech recognition,Fuzzy sets and logic
Opis:: .
From the introduction: "The present article is an elementary introduction to the concept of fuzzy sets. There is a bibliography of 30 items.''
Źródło:: Mathematica Applicanda; 1980, 8, 16
1730-2668
2299-4009
Pojawia się w:: Mathematica Applicanda
Dostawca treści:: Biblioteka Nauki

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