用遗传算法优化神经网络初始权重的方法

吉林大学学报(工学版) ›› 2003, Vol. ›› Issue (2): 45-50.

Method for optimizing initial weights of ANNs by GAs

ZHAI Yi-feng¹, LI Hong-yan², LIU Han-bing³, YUAN Xi-min⁴

1. College of Hydraulic and Civil Engineering, Dalian University of Science and Technology, Dalian 116023, China;
2. College of Managment and Economy, Beijing University of Science and Technology, Beijing 100081, China;
3. College of Transportation, Jilin University, Changchun 130025, China;
4. China Institute of Water Resources and Hydropower Research, Beijing 100038, China

Received:2002-09-25

Abstract

Abstract: It is known that the genetic algorithms (GAs) are good in global searching,and the artificial neural networks (ANNs) are effective on accurate local searching.We proposed a method to join the genetic algorithm and BP alogorithm together and supplementing mutually by optimizing the initial weights of ANNs with GAs.Some applications have already obtained in study of enhancing the intelligent forecasting precision of flood,especially the precision of flood peak forecasting,by using this method.Through the check for the historic datum of the flood forecasting system for Zhujiang rive catchment,the effectiveness and reliability of this method have been proved.

Key words: artificial neural networks, genetic algorithms, weights of artificial neural networks, flood-peak forecasting

CLC Number:

TP301

ZHAI Yi-feng, LI Hong-yan, LIU Han-bing, YUAN Xi-min. Method for optimizing initial weights of ANNs by GAs[J].吉林大学学报(工学版), 2003, (2): 45-50.

References

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