Abstract
Today’s engineering systems are sophisticated in design and powerful in function. Examples of such systems include airplanes, space shuttles, telecommunication networks, robots, and manufacturing facilities. Critical measures of performance of these systems include reliability, cost, and weight. Optimal system design aims to optimize such performance measures.
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Keywords
- Hide Layer
- Artificial Neural Network Model
- Failure Probability
- Network Design Problem
- Optimal Design Problem
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© 2007 Springer-Verlag Berlin Heidelberg
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Zuo, M.J., Tian, Z., Huang, HZ. (2007). Neural Networks for Reliability-Based Optimal Design. In: Levitin, G. (eds) Computational Intelligence in Reliability Engineering. Studies in Computational Intelligence, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37372-8_7
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DOI: https://doi.org/10.1007/978-3-540-37372-8_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37371-1
Online ISBN: 978-3-540-37372-8
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