Using neural network function approximation for optimal design of continuous-state parallel-series systems

Abstract

This paper presents a novel continuous-state system model for optimal design of parallel–series systems when both cost and reliability are considered. The advantage of a continuous-state system model is that it represents realities more accurately than discrete-state system models. However, using conventional optimization algorithms to solve the optimal… (More)
DOI: 10.1016/S0305-0548(01)00100-9

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@article{Liu2003UsingNN, title={Using neural network function approximation for optimal design of continuous-state parallel-series systems}, author={Peter Xiaoping Liu and Ming Jian Zuo and Max Q.-H. Meng}, journal={Computers & OR}, year={2003}, volume={30}, pages={339-352} }