A review of genetic algorithms applied to training radial basis function networks

作者：Harpham C^*; Dawson CW; Brown MR

来源：Neural Computing & Applications, 2004, 13(3): 193-201.

DOI：10.1007/s00521-004-0404-5

• artificial neural network
• genetic algorithm
• multilayer perceptron
• radial basis function

The problems associated with training feed-forward artificial neural networks (ANNs) such as the multilayer perceptron (MLP) network and radial basis RBF) network have been well documented. The solutions to these problems have inspired a considerable amount of research, one particular area being the application of evolutionary search algorithms such as the genetic algorithm (GA). To date, the vast majority of GA solutions have been aimed at the MLP network. This paper begins with a brief overview of feedforward ANNs and GAs followed by a review of the current state of research in applying evolutionary techniques to training RBF networks.

• 出版日期2004-9