Soft computing in engineering design: A fuzzy neural network for virtual product design

Abstract

This paper presents a fuzzy neural network approach to virtual product design. In the paper, a novel soft computing framework is developed for engineering design based on a hybrid intelligent system technique. First, a fuzzy neural network (FNN) model is proposed for supporting modeling, analysis and evaluation, and optimization tasks in the design process, which combines fuzzy logic with neural networks. The developed system provides a unified soft computing design framework with computational intelligence. The system has self-modifying and self-learning functions. Within the system, only one network is needed training for accomplishing the evaluation, rectification/modification and optimization tasks in the design process. © 2006 Springer.