Expert systems in manufacturing processes using soft computing

This paper presents a review on soft computing-based expert systems developed to establish input-output relationships of various manufacturing processes. To determine these relationships, both fuzzy logic- and neural network-based approaches were tried. Reasonably good results were obtained using the developed approaches. However, there is a chance of further improvement of the results. The scopes for future study have also been discussed.