Neural Networks in Manufacturing

Abstract Neural networks can be used to build autonomous manufacturing systems that can adapt to the changes in their environments. This paper provides some general discussion of the applications of neural network techniques in manufacturing and engineering. In particular, a new neural controller for process control and a novel network suitable for engineering classification and prediction tasks such as quality control and production monitoring are described.