Optimizing Single Layer Cellular Neural Network  Simulator using Simulated Annealing Technique with  Neural Networks

O. H. Abdelwahed; M. El-Sayed Wahed

Volume : III, Issue : VI, June - 2013

Optimizing Single Layer Cellular Neural Network Simulator using Simulated Annealing Technique with Neural Networks

O. H. Abdelwahed, M. El Sayed Wahed

Abstract :

An efficient numerical integration algorithm using simulated annealing with neural networks for single layer Raster Cellular Neural Networks (CNN) simulator is presented in this work. The simulator is capable of perAn efficient numerical integration algorithm using simulated annealing with neural networks for single layer Raster Cellular Neural Networks (CNN) simulator is presented in this work. The simulator is capable of pertions of CNN. The goal is to provide optimal control with reduced calculus effort by compå the solutions of the MRDE obtained from the well known traditional Runge Kutta(RK)method and nontraditional neural network method. Accuracy of the neural solution to the problem is qualitatively better.