作者: B. Kaushik , N. Kaur , A.K. Kohli
DOI: 10.1016/J.ASOC.2013.02.017
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摘要: The objective of this paper is to present a novel method achieve maximum reliability for fault tolerant optimal network design when has variable size. Reliability calculation most important and critical component required. A must be supplied with certain parameters that guarantee proper functionality maintainability under worse situations. Many alternative methods measuring have been stated in literature design. Most these mentioned evaluating may analytical simulation based. These provide significant way compute limited Also, computational effort required growing sized networks. Therefore, neural presented high highly This computes improved learning rate gradient descent based method. result shows achievable by at manageable cost.