An Integrated Intelligent System Model and Its Applications in Virtual Product Design and Development

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Author(s): Xuan F. Zha (National Institute of Standards and Technology, University of Maryland, USA and Shanghai JiaoTong University, China)
Copyright: 2008
Pages: 25
Source title: Virtual Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Jerzy Kisielnicki (Warsaw University, Poland)
DOI: 10.4018/978-1-59904-955-7.ch028

Keywords: Artificial Intelligence / Information Science Reference / Media & Communications / Virtual Communities & Virtual Reality

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Abstract

In this Chapter, a novel integrated intelligent framework is first proposed for virtual engineering design and development based on the soft computing and hybrid intelligent techniques. Then, an evolutionary neuro-fuzzy (EFNN) model is developed and used for supporting modeling, analysis and evaluation, and optimization tasks in the design process, which combines fuzzy logic with neural networks and genetic algorithms. The developed system HIDS-EFNN provides a unified integrated intelligent environment for virtual engineering design and simulation. The focus of this Chapter is to present a hybrid intelligent approach with evolutionary neuro-fuzzy modeling and its applications in virtual product design, customization and simulation (product performance prediction). Case studies are provided to illustrate and verify the proposed model and approach.

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