基于CNN电路分析的广义最大流解

2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI:10.1109/CNNA.2010.5430325

M. Sato, M. Tanaka

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引用次数: 0

摘要

在我们之前的研究中，我们提出了最大流量神经网络(MF-NN)，并证明了MF-NN可以解决任何最大流量问题。然而，MF-NN存在s型函数的收敛性问题。在这项研究中，我们提出了一种新的使用分段线性函数的MF-NN来改善这些问题。此外，这种新方法可以大大降低计算成本。

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Generalized maximum-flow solution based on CNN circuit analysis

In our previous research, the Maximum-Flow Neural Network (MF-NN) was proposed, and we showed that the MF-NN is possible to solve any maximum-flow problems. However, the MF-NN has problems of convergence of sigmoidal function. In this research, we propose novel MF-NN using piecewise linear function for improving those problems. Moreover, this novel method is possible to considerably reduce a calculation cost.

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2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)

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