AN EVOLUTIONARY RBF NETWORK CONFIGURATION USING ADAPTIVE WIDTH ADJUSTMENT BASED ON VACCINATION

作者：Zang, Xiaogang^*; Gong, Xinbao; Ling, Xiaogfeng; Chang, Cheng; Tang, Bin

来源：Neural Network World, 2008, 18(4): 323-339.

• Computational learning theory
• evolutionary computation
• neural networks
• RBF networks
• vaccination operation

In this paper, a mechanism of adaptive width adjustment based on immunological vaccination is proposed for the evolutionary training of RBF neural networks. Inspired by the vaccination process of the natural immune system, the algorithm implements an individual-orientated adaptation of the width in training stages to optimize the potential solutions, therefore reinforces the evolutionary capability and efficiency. A two-layer genotype-coding scheme, which enables a simultaneous evolution of network structure and parameters, is presented to achieve a compact and consistent-in-form solution. The proposed learning strategy is tested on several benchmark problems and results demonstrate promise.

• 出版日期2008
• 单位上海交通大学