A variable-parameter neural network trained by improved genetic algorithm and its application
Sai Ho Ling, Hak‐Keung Lam, Frank H. F. Leung · Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. · 2006
This paper presents a neural network with variable parameters. These variable parameters adapt to the changes of the input environment, and tackle different input data sets in a large domain. Each input data set is effectively handled by its corresponding set of network parameters. Thus, the proposed neural network exhibits a better learning and generalization ability than a traditional one. An improved genetic algorithm (Lam et al., 2004) is proposed to train the network parameters. An application example on hand-written pattern recognition will be presented to verify and illustrate the improvement.