AN APPLICATION OF NEURAL-NETWORK TO DYNAMIC DISPATCH USING MULTI PROCESSORS

被引：18

作者：

FUKUYAMA, Y ^{[1
]}

UEKI, Y ^{[1
]}

机构：

[1] FUJI ELECT CORP RES & DEV LTD,DEPT POWER SYST CONTROL DEV,AI & CONTOL SECT,HINO,TOKYO 191,JAPAN

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1994年 / 9卷 / 04期

关键词：

DYNAMIC DISPATCH; NEURAL NETWORK; OPTIMIZATION; GAUSSIAN MACHINE; MULTI PROCESSORS;

D O I：

10.1109/59.331428

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents an application of neural network to dynamic dispatch. The proposed method uses a neural network with appropriate noises and can give efficient initial neuron conditions which is specific to the problem. Therefore, convergence to a local minimum can be suppressed. The method is implemented on transputer, that is one of the efficient parallel processors, and appropriate number of processors is examined. It can develop optimal and feasible generator output trajectories quickly by applying forecasts of system load patterns to practical thermal generating unit systems.

引用

页码：1759 / 1765

页数：7

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