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Wyszukujesz frazę "neural systems" wg kryterium: Temat


Tytuł:
Scalony szerokopasmowy nadajnik dla systemu bezprzewodowej rejestracji potencjałów neuronowych
Integrated wideband transmitter for neural recording applications
Autorzy:
Turcza, P.
Młynarczyk, J.
Powiązania:
https://bibliotekanauki.pl/articles/153546.pdf
Data publikacji:
2013
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
telemetria
pomiary neurobiologiczne
zintegrowane układy scalone
CMOS
telemetry
neural recording systems
Opis:
W artykule przedstawiono projekt scalonego szerokopasmowego nadajnika dla systemu bezprzewodowej rejestracji potencjałów neuronowych. Prezentowany nadajnik został zaimplementowany w technologii CMOS 180 nm i pracuje w paśmie 4 GHz z modulacją OOK. Maksymalna oferowana szybkość transmisji sięga 80 Mb/s. Średni pobór mocy, przy szybkości transmisji 20 Mbit/s i zasięgu 4 m wynosi 1,8 mW. Struktura nadajnika zajmuje powierzchnie 0,4 x 0,75 mm2, na której oprócz elementów aktywnych mieszczą się cewki obwodu rezonansowego generatora LC i wzmacniacza RF. Napięcie zasilania układu wynosi od 1,5 V do 1,8 V, co pozwala na zasilanie nadajnika z jednej baterii pastylkowej. Układ sterujący nadajnika zaimplementowano w ultra niskomocowym układzie FPGA firmy Silicon Blue. Zawiera on kodera FEC, moduł przeplotu danych oraz kontroli mocy transmisji.
The paper presents a low power integrated wideband telemetry system for neural recording. The presented system operates in 4 GHz band. It makes use of OOK modulation and offers very high data rate, up to 80 Mbits/s. The proposed system (Fig. 1) consists of an FPGA based controller and an an RF transmitter. The controller implements an FEC encoder, a bit interleaver, a scrambler and a pulse generator driving the RF transmitter. The FEC encoder is based on a bit-serial (233, 255) Reed-Solomon encoder. The scrambler is responsible for producing appropriate numbers of transitions in the transmitted signal to facilitate bit syn-chronization in the receiver. The RF transmitter was implemented in 180 nm CMOS process with an area of 0.4 x 0.75 mm2. It consumes 1.8 mW operating with the 20 Mbits/s data rate and the transmission range set to 4 m. All of the inductors were integrated on the transmit-ter silicon die, so the only external components are power supply bypass capacitors. For the experimental tests of the presented system a dedicated ultra wide-band antenna was designed on a 0.813 mm microwave substrate (Fig. 7). The radiating element (top layer) has dimensions of roughly 16 x 15 mm and the ground plane dimensions are 16 x 12 mm (bottom layer). The antenna features a very wide impedance band-width of 2.45 GHz (reflection coefficient below -10 dB) and operates in the frequency range 3.30 to 5.75 GHz. The antenna gain at the intended center frequency of the system, i.e. 4 GHz, is 2 dBi and VSWR is below 1.2. The accompa-nying receiver makes use of an AD8318 logarithmic detector.
Źródło:
Pomiary Automatyka Kontrola; 2013, R. 59, nr 3, 3; 231-234
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Accumulative information enhancement in the self-organizing maps and its application to the analysis of mission statements
Autorzy:
Kitajima, R.
Kamimura, R.
Powiązania:
https://bibliotekanauki.pl/articles/91614.pdf
Data publikacji:
2015
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
information
neural systems
computational method
artificial data set
mission
statement
informacja
systemy neuronowe
metoda obliczeniowa
zbiór danych
misja
komunikat
Opis:
This paper proposes a new information-theoretic method based on the information enhancement method to extract important input variables. The information enhancement method was developed to detect important components in neural systems. Previous methods have focused on the detection of only the most important components, and therefore have failed to fully incorporated the information contained in the components into learning processes. In addition, it has been observed that the information enhancement method cannot always extract input information from input patterns. Thus, in this paper a computational method is developed to accumulate information content in the process of information enhancement. The method was applied to an artificial data set and the analysis of mission statements. The results demonstrate that while we were able to explicitly extract the symmetric properties of the data from the artificial data set, only one main factor was able to be extracted from the mission statement, namely, “contribution to the society”. The companies with higher profits tend to have mission statements concerning the society. The results can be considered to be a first step toward the full clarification of the importance of mission statements in actual business activities.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2015, 5, 3; 161-176
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stator inter-turn fault detection of an induction motor using neuro-fuzzy techniques
Autorzy:
Dash, R. N.
Subudhi, B.
Powiązania:
https://bibliotekanauki.pl/articles/229870.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
inter-turn short circuit fault
phase shifts
adaptive neural fuzzy inference systems (ANFISs)
neural networks
induction motor
Opis:
Motivated by the superior performances of neural networks and neuro-fuzzy approaches to fault detection of a single phase induction motor, this paper studies the applicability these two approaches for detection of stator inter-turn faults in a three phase induction motor. Firstly, the paper develops an adaptive neural fuzzy inference system (ANFIS) detection strategy and then compares its performance with that of using a multi layer perceptron neural network (MLP NN) applied to stator inter-turn fault detection of a three phase induction motor. The fault location process is based on the monitoring the three phase shifts between the line current and the phase voltage of the induction machine.
Źródło:
Archives of Control Sciences; 2010, 20, 3; 363-376
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Methodology to knowledge discovery for fault diagnosis of hybrid dynamical systems: demonstration on two tanks system
Autorzy:
Achbi, Mohammed Said
Mhamdi, Lotfi
Kechida, Sihem
Dhouibi, Hedi
Powiązania:
https://bibliotekanauki.pl/articles/329522.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
hybrid dynamic systems
generation of residues
evaluation of residues
monitoring
diagnosis
neural fuzzy systems
hybrydowy system dynamiczny
monitorowanie
diagnoza
systemy neuronowo-rozmyte
Opis:
The work carried out in this article concerns on the implementation off a diagnostic procedure for hybrid dynamic systems (HDS) whose objective is to guarantee the proper functioning of industrial installations. In this context, the main contributions of this work are summarized into three parts: The first part is oriented to the modeling approach dedicated to HDS. The aim is to find an adequate model combining both aspects (continuous and discrete dynamics). The use of Neuro-fuzzy networks makes it possible to build a model of the system and to follow all the modes without it being necessary to identify or discern them. The second part concerns the synthesis of a fault diagnostic technique based on a fuzzy inference system. A Neuro-Fuzzy network based is used for residual generation, while for the residual evaluation, a fuzzy reasoning model is used which can mainly introduce heuristic information into the analysis scheme and takes the appropriate decision regarding the actual behaviour of the process. The proposed approach is successfully applied to monitoring faults of a non-linear three-tank system and the results confirm the effectiveness of this approach.
Źródło:
Diagnostyka; 2020, 21, 4; 115-122
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy inference neural networks with fuzzy parameters
Autorzy:
Rutkowska, D.
Hayashi, Y.
Powiązania:
https://bibliotekanauki.pl/articles/1931581.pdf
Data publikacji:
2003
Wydawca:
Politechnika Gdańska
Tematy:
neuro-fuzzy systems
fuzzy neural networks
fuzzy inference neural networks
fuzzy systems of type 2
fuzzy granulation
Opis:
This paper concerns fuzzy neural networks and fuzzy inference neural networks, which are two different approaches to neuro-fuzzy combinations. The former is a direct fuzzification of artificial neural networks by introducing fuzzy signals and fuzzy weights. The latter is a representation of fuzzy systems in the form of multi-layer connectionist networks, similar to neural networks. Parameters of membership functions (centers and widths) play the role of neural network weights. In this paper, fuzzy inference neural networks with fuzzy parameters are considered. Neuro-fuzzy systems of this kind utilize both approaches: fuzzy neural networks and fuzzy inference neural networks. They also pertain to fuzzy systems of type 2 since membership functions with fuzzy parameters characterize type 2 fuzzy sets. Various architectures of these networks have been obtained for fuzzy systems based on different fuzzy implications. By analogy with fuzzy inference neural networks with crisp parameters, methods of learning fuzzy parameters and rule generation can be derived for neuro-fuzzy systems with fuzzy parameters. Fuzzy inference neural networks are studied in the framework of fuzzy granulation. In particular, fuzzy clustering as fuzzy information granulation is proposed to be applied in order to generate fuzzy IF-THEN rules. Applications of fuzzy inference neural networks are also outlined.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2003, 7, 1; 7-22
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling of the dynamics of a gyroscope using artificial neural networks
Zastosowanie sztucznych sieci neuronowych do modelowania dynamiki giroskopu
Autorzy:
Łacny, Ł.
Powiązania:
https://bibliotekanauki.pl/articles/281929.pdf
Data publikacji:
2012
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
artificial neural networks
dynamical systems
emulation
gyroscopes
Opis:
It this paper, a neural network was utilized in order to create an emulator, which could mimic the behaviour and nonlinear dynamics of a gyroscope with two axes of freedom, subjected to both low- and high-frequency excitation. For this purpose, several known learning methods, such as the gradient and Levenberg-Margquardt method, were used. Three different models of neural networks were considered and compared for their effectiveness: NNFIR, NNARX and the recurrent network NNARMAX.
W niniejszej pracy przedstawiono, w jaki sposób przy użyciu sztucznej sieci neuronowej możliwe jest stworzenie emulatora, który naśladuje zachowanie i nieliniową dynamikę giroskopu o dwóch osiach swobodnych, poddanego wymuszeniom zarówno o niskiej, jak i wysokiej częstotliwości. W celu nauczenia sieci neuronowej, wykorzystano szereg dostępnych algorytmów uczących (m.in. gradientowy, Levenberga-Margquadta). Przetestowano oraz porównano trzy różniące się od siebie modele sieci neuronowych: NNFIR, NNARX oraz sieć rekurencyjną NNARMAX.
Źródło:
Journal of Theoretical and Applied Mechanics; 2012, 50, 1; 85-97
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neural Network-Based Narx Models in Non-Linear Adaptive Control
Autorzy:
Dzieliński, A.
Powiązania:
https://bibliotekanauki.pl/articles/907986.pdf
Data publikacji:
2002
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
automatyka
neural networks
adaptive control
nonlinear systems
Opis:
The applicability of approximate NARX models of non-linear dynamic systems is discussed. The models are obtained by a new version of Fourier analysis-based neural network also described in the paper. This constitutes a reformulation of a known method in a recursive manner, i.e. adapted to account for incoming data on-line. The method allows us to obtain an approximate model of the non-linear system. The estimation of the influence of the modelling error on the discrepancy between the model and real system outputs is given. Possible applications of this approach to the design of BIBO stable closed-loop control are proposed.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2002, 12, 2; 235-240
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Consumer-oriented heat consumption prediction
Autorzy:
Grzenda, M.
Powiązania:
https://bibliotekanauki.pl/articles/206248.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
district heating systems
demand prediction
neural networks
Opis:
The advent of modern low-cost monitoring and wireless transmission systems results in unprecedented availability of measurement data potentially available in near real-time mode. In particular, some of the remote meter reading systems can be used to collect data on an hourly or even sub-hourly basis. This allows the utility companies to model and predict consumer behaviour more precisely than before. In this study, the way the monitoring data can be used to model heat consumption at individual premises supplied with heat by a district heating system, is proposed. The proposed algorithm is based on customer partitioning used to devise a number of group models serving the needs of consumers sharing similar consumption profiles. Self-organising maps are used to group averaged long-term time series, while the short-term time series provide a basis for group prediction models. Particular attention has been paid to a wider hydraulic modelling perspective, as the application of the proposed method to provide assumed demand for hydraulic model of a district heating system is envisaged. The approach has been validated using a real data set. Results show that in spite of a limited number of monitored consumers, group prediction models, constructed using the algorithm proposed in this study, can significantly reduce demand prediction error.
Źródło:
Control and Cybernetics; 2012, 41, 1; 213-240
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Preface to special issue on Modern Intelligent Systems Concepts II
Autorzy:
Idrissi, Abdellah
Powiązania:
https://bibliotekanauki.pl/articles/2141893.pdf
Data publikacji:
2020
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
modern intelligent systems
artificial neural network
ANN
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 4; 35-36
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Coordinating the motion of mobile robots using Cellular Neural Network
Autorzy:
Siemiątkowska, B.
Powiązania:
https://bibliotekanauki.pl/articles/384283.pdf
Data publikacji:
2008
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
neural networks
mobile robot
mapping
navigation
multi-robots systems
cellular neural network
Opis:
This paper presents a method for motion planning for a group of mobile robots. The goal of the group is to move through an environment and to reach a destination while maintaining the desired formation. The map of the environment is represented as a grid of cells. A state of each cell is determined. It can be free, occupied by the obstacle, occupied by a robot. The trajectories of the robots are planned using the modification of diffusion method. The algorithm is implemented using Cellular Neural Network. This kind of implementation allows of efficient path planning and to solve conflicts between robots. Computer simulations were preformed in order to proof the efficiency of the approach.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 2; 65-69
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Delay Systems Synthesis using Multi-Layer Perceptron Network
Autorzy:
Plonis, D.
Katkevičius, A.
Urbanavičius, V.
Miniotas, D.
Serackis, A.
Gurskas, A.
Powiązania:
https://bibliotekanauki.pl/articles/1030785.pdf
Data publikacji:
2018-05
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
neural networks
delay systems
time consumption
iterative calculations
Opis:
The aim of this paper is to accelerate development and investigation of the delay systems. The computational time for investigation of particular design of delay system may take from several minutes up to several days. To achieve the required constructional parameters of the system, the iterative calculations usually should be repeated many times. In this paper, an artificial neural network is proposed to be used as the universal approximator for solving mathematical problems of delay system investigation instead of usual analytical and numerical techniques. The application of a multi-layer perceptron is proposed for approximation of solution space with discrete estimates, which were initially received by application of numerical techniques. Different structures of the multi-layer perceptron were tested for approximation. The difference between delay systems synthesis, which was estimated using numerical techniques and trained multi-layer perceptron did not exceed 5% for any of the six design parameter values. The execution time for estimating single delay system was reduced from 240 s to 20 ms. Such fast estimation of design parameters enables performing delay system analysis and design in real time, preserving time for structure visualization in 3D or virtual reality environment.
Źródło:
Acta Physica Polonica A; 2018, 133, 5; 1281-1286
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Elman neural network for modeling and predictive control of delayed dynamic systems
Autorzy:
Wysocki, A.
Ławryńczuk, M.
Powiązania:
https://bibliotekanauki.pl/articles/229646.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
dynamic models
process control
model predictive control
neural networks
Elman neural network
delayed systems
Opis:
The objective of this paper is to present a modified structure and a training algorithm of the recurrent Elman neural network which makes it possible to explicitly take into account the time-delay of the process and a Model Predictive Control (MPC) algorithm for such a network. In MPC the predicted output trajectory is repeatedly linearized on-line along the future input trajectory, which leads to a quadratic optimization problem, nonlinear optimization is not necessary. A strongly nonlinear benchmark process (a simulated neutralization reactor) is considered to show advantages of the modified Elman neural network and the discussed MPC algorithm. The modified neural model is more precise and has a lower number of parameters in comparison with the classical Elman structure. The discussed MPC algorithm with on-line linearization gives similar trajectories as MPC with nonlinear optimization repeated at each sampling instant.
Źródło:
Archives of Control Sciences; 2016, 26, 1; 117-142
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Heuristic Analysis of Transport System Efficiency Based on Movement of Mobile Network Users
Autorzy:
Sabak, G.
Powiązania:
https://bibliotekanauki.pl/articles/309030.pdf
Data publikacji:
2009
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
congestion detection
decision support systems
neural networks
transport system
Opis:
The paper describes results of introductory research focused on possibility to use location data available in a mobile network for the analysis of transport system status and efficiency. The details of a system capable of detecting abnormal traffic situation (accidents, heavy congestion) are described. This system (called VASTAR) uses a neural network to learn and store certain characteristic of the analyzed part of a road system. Based on a measured divergence from normal characteristic, a notification about non-typical situation is triggered. The results of a computational experiment using real-world location data and simulation of abnormal situation are provided. The proposed system can be a relatively low cost way to improve competitiveness of a mobile network operator by allowing him to offer new type of informational service. It could also aid municipal authorities by providing support for decisions regarding road traffic control and management and be used by emergency services as a monitoring an alarming tool for detecting abnormal road traffic situations when other means of observation are unavailable.
Źródło:
Journal of Telecommunications and Information Technology; 2009, 3; 95-102
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Occupational accidents data collection and analysis
Autorzy:
Demichela, M.
Murè, S.
Cigna, C.
Monai, L.
Patrucco, M.
Powiązania:
https://bibliotekanauki.pl/articles/2069533.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
occupational accidents
fuzzy logic
neural networks
expert systems
data collection
Opis:
Despite of the always growing attention to safety related topics, the enforcement of directives, regulations and technical standards and the improvement of technical solutions aimed to minimize the occupational risks, the number of people dying every day at workplaces is still excessively high. The overall number of injuries is recently decreasing, but both the frequency and the total yearly number of fatalities still remain fundamentalny unchanged in the last years. The main problem with accidental data, as officially reported, is that very often, no evaluation is possible in terms of root causes, e.g. standard violations. Since the target of the analysis is the determination of the causal chain of events that lead to the accident to understand how it happened and how to avoid the occurrence of similar situations, the lack of detailed information lead to many difficulties in the definition of the suitable prevention measures. This paper shows three different, but integrated. methods able to collect, manage and analyze the information related to occurred accidents for preventive purposes.
Źródło:
Journal of Polish Safety and Reliability Association; 2010, 1, 1; 67--74
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On solving selected problems of linear algebra by means of neural networks
Zagadnienie rozwiązywania wybranych zadań algebry liniowej za pomocą sieci neuronowych
Autorzy:
Mrówczyńska, M.
Powiązania:
https://bibliotekanauki.pl/articles/395896.pdf
Data publikacji:
2011
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
sieci neuronowe
algebra liniowa
neural networks
linear algebra
linear systems
Opis:
The paper presents selected practical applications and results of computer simulations from the field of numerical linear algebra realized by means of neural networks. Bearing in mind aspects of applications, it has been decided that priority should be given to the description of the problem of soling over-determined linear systems in the norm l_2 and the norm l_1.
W pracy przedstawiono wybrane zastosowania praktyczne i wyniki symulacji komputerowych z zakresu numerycznej algebry liniowej, realizowanej za pomocą sieci neuronowych. Mając na względzie aspekty zastosowań, uznano za celowe nadać priorytet opisowi zagadnienia wyrównania nadokreślonych układów liniowych w normie l_2 oraz w normie l_1. Do standardowych operacji numerycznych zaliczono również algorytmy obliczania inwersji macierzy kwadratowych oraz wyznaczania ich wartości własnych i wektorów własnych.
Źródło:
Civil and Environmental Engineering Reports; 2011, 7; 5-17
2080-5187
2450-8594
Pojawia się w:
Civil and Environmental Engineering Reports
Dostawca treści:
Biblioteka Nauki
Artykuł

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