Architecture and Weight Optimization of ANN Using Sensitive Analysis and Adaptive Particle Swarm Optimization
This paper presents an optimized architecture and weights of three layered ANN designing method using Sensitivity Analysis and Adaptive Particle Swarm Optimization (SA - APSO). The optimized ANN architecture determination means to look for near minimal number of neurons in the ANN and finding the efficient connecting weights of it in such a way so that the ANN can achieve better performance for solving different problems. The proposed algorithm designs the ANN into two phases. In the first phase it tries to prune the neurons from ANN using sensitivity analysis to achieve the near minimal ANN structure and therefore it tries to optimize the weight matrices for further performance enhancement by adaptive particle swarm optimization.