Approximate Reliability Function Based On Wavelet Latin Hypercube Sampling And Bee Recurrent Neural Network

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Approximate Reliability Function Based On Wavelet Latin Hypercube Sampling And Bee Recurrent Neural Network

Yeh Wei-Chang; Su Jack; Hsieh Tsung-Jung; Chih Mingchang; Liu Sin-Long
URI: http://hdl.handle.net/10453/15173
Date: 2011

Abstract:

This work combines a Bee Recurrent Neural Network (BRNN) optimized by the Artificial Bee Colony (ABC) algorithm with Monte Carlo Simulation (MCS) to generate a novel approximate model for predicting network reliability. We utilize the Wavelet Transform (

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