Generating nonlinear bell-shaped transfer functions for neural networks using stochastic processes

摘要

A neural network employing a back propagation network uses hardware structured stochastic processing. The input is converted by an approximate sigmoid function stage and the result is stored in a delay element for an adjustable period before being provided as an output. The output is combined with the input in an EXCLUSIVE-OR gate. The nonlinear bell-shaped characteristic that results from the process.