Path selection through a three-stage switching network using neural networks

A neural network algorithm for selecting paths through a three-stage switching network was developed. Based on the results of computer simulations, a four-dimensional region for the valid combinations was discovered. An analysis is performed to determine the characteristics of this region. The behavior of the neural network algorithm for different switching network configurations and varying traffic patterns was investigated. The effect of initial state of the neural network is analyzed and heuristic improvements to the algorithm are provided. A comparative analysis of the neural network path selection algorithm against a sequential search method is also given.<>