The Parallel Approach to the Conjugate Gradient Learning Algorithm for the Feedforward Neural Networks

摘要

This paper presents the parallel architecture of the conjugate gradient learning algorithm for the feedforward neural networks. The proposed solution is based on the high parallel structures to speed up learning performance. Detailed parallel neural network structures are explicitly shown.