Czasopismo
2001
|
vol. 49, nr 1
|
125-139
Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Języki publikacji
Abstrakty
In the paper a novel approach to the structure identification of the lattice associative memory network is presented. In the investigated network B-spaline basis functions are used, and the network structure (i.e.a number, a distribution and a shape of the basis functions) is determined by means of a genetic algorithm. The proposed approach is partly able to make use of structural dependencies existing in training data which, in connection with high interpretability of the lattice network, can provide the modeller with valuable knowledge about the process or system being modelled. This knowledge can help to select relevant model inputs and hence the model size.
Rocznik
Tom
Strony
125-139
Opis fizyczny
7 rys., 1 tabela, bibliogr. 13 poz.
Twórcy
autor
autor
- Technical University of Gdańsk, Department of Electronics, Telecommunication and Informatics, ul. G. Narutowicza 11/12, 80-952 Gdańsk, Poland (Wydział Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej)
Bibliografia
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG1-0012-0002