Structure Identification of an Associative Menory Network Using Genetic Algorithm

摘要

In the paper a novel approach to the structure identification of the lattice associative memory network is presented.In the investigated network B-spline 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 made use of structural dependencies existing in training data which,in connection with high interpretability of the lattice network,can rovide the modeller with valuable knowledge about the proces or system being modelled.This knowledge can help to select relevant model inputs and hence to reduce the model size.