Noisy Chaotic Neural Networks For Delay Constrained Multicast Routing

Wen Liu, Lipo Wang, Haixiang Shi
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引用次数: 2

Abstract

The QoS constrained multicast routing is studied widely these years due to the development of multimedia applications such as video-conferencing and video-on-demand. We apply noisy chaotic neural networks (NCNN) on the delay constrained multicast routing problem. The NCNN has richer and more flexible dynamics, and therefore is more efficient compared with the conventional Hopfield neural network as the latter is often trapped at local minima
时延约束组播路由的噪声混沌神经网络
近年来,随着视频会议和视频点播等多媒体应用的发展,QoS约束组播路由得到了广泛的研究。将噪声混沌神经网络(NCNN)应用于时延约束的组播路由问题。NCNN具有更丰富、更灵活的动态特性,与传统的Hopfield神经网络相比效率更高,因为后者经常被困在局部极小值
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