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

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

Xuan F. Zha
ISBN13: 9781599042497|ISBN10: 1599042495|EISBN13: 9781599042510
DOI: 10.4018/978-1-59904-249-7.ch017
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MLA

Zha, Xuan F. "An Integrated Intelligent System Model and Its Applications in Virtual Product Design and Development." Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications, edited by Xuan Zha, IGI Global, 2007, pp. 342-370. https://doi.org/10.4018/978-1-59904-249-7.ch017

APA

Zha, X. F. (2007). An Integrated Intelligent System Model and Its Applications in Virtual Product Design and Development. In X. Zha (Ed.), Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications (pp. 342-370). IGI Global. https://doi.org/10.4018/978-1-59904-249-7.ch017

Chicago

Zha, Xuan F. "An Integrated Intelligent System Model and Its Applications in Virtual Product Design and Development." In Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications, edited by Xuan Zha, 342-370. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59904-249-7.ch017

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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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