Autor: Cpałka, K. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: New Methods for Designing and Reduction of Neuro-Fuzzy Systems
Autorzy:: Cpałka, K.
Powiązania:: https://bibliotekanauki.pl/articles/108790.pdf
Data publikacji:: 2010
Wydawca:: Społeczna Akademia Nauk w Łodzi
Tematy:: algorithm of best global eliminations
algorithm of best local eliminations
consecutive eliminations algorithm
consecutive mergings algorithm
interpretability
logical approach
neuro-fuzzy system
Opis:: In the paper, we propose novel methods for designing and reduction of neuro-fuzzy systems without the deterioration of their accuracy. The reduction and merging algorithms gradually eliminate inputs, rules, antecedents, and the number of discretization points of integrals in the center of area defuzzification method. Our algorithms have been tested using well known classification benchmark.
Źródło:: Journal of Applied Computer Science Methods; 2010, 2 No. 2; 113-126
1689-9636
Pojawia się w:: Journal of Applied Computer Science Methods
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A neuro-fuzzy controller with a compromise fuzzy reasoning
Autorzy:: Rutkowski, L.
Cpałka, K.
Powiązania:: https://bibliotekanauki.pl/articles/205949.pdf
Data publikacji:: 2002
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: metoda logiczna
metoda Mamdaniego
sterownik neuronowo-rozmyty
logical approach
Mamdani approach
neuro-fuzzy controler
Opis:: This paper presents a compromise approach to neuro-fuzzy controllers. It includes both Mamdani (constructive) and logical (destructive) fuzzy inference. New neuro-fuzzy controllers are derived and simulation results are presented.
Źródło:: Control and Cybernetics; 2002, 31, 2; 297-308
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: A new approach to nonlinear modelling of dynamic systems based on fuzzy rules
Autorzy:: Bartczuk, Ł.
Przybył, A.
Cpałka, K.
Powiązania:: https://bibliotekanauki.pl/articles/330372.pdf
Data publikacji:: 2016
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: nonlinear modelling
dynamic system
fuzzy system
interpretability of fuzzy system
evolutionary algorithm
modelowanie nieliniowe
układ dynamiczny
system rozmyty
algorytm ewolucyjny
Opis:: For many practical weakly nonlinear systems we have their approximated linear model. Its parameters are known or can be determined by one of typical identification procedures. The model obtained using these methods well describes the main features of the system’s dynamics. However, usually it has a low accuracy, which can be a result of the omission of many secondary phenomena in its description. In this paper we propose a new approach to the modelling of weakly nonlinear dynamic systems. In this approach we assume that the model of the weakly nonlinear system is composed of two parts: a linear term and a separate nonlinear correction term. The elements of the correction term are described by fuzzy rules which are designed in such a way as to minimize the inaccuracy resulting from the use of an approximate linear model. This gives us very rich possibilities for exploring and interpreting the operation of the modelled system. An important advantage of the proposed approach is a set of new interpretability criteria of the knowledge represented by fuzzy rules. Taking them into account in the process of automatic model selection allows us to reach a compromise between the accuracy of modelling and the readability of fuzzy rules.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2016, 26, 3; 603-621
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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