| Application of genetic BP network to discriminating earthquakes and explosions |
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| 作者姓名： | 边银菊 |
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| 作者单位： | BIAN Yin-ju Institute of Geophysics，China Seismological Bureau，Beijing 100081，China |
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| 基金项目： | National Science Foundation of China (49874009) |
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| 摘 要： | Introduction Artificial Neural Network (ANN) is an important branch of artificial intelligence. It is proposed on the foundation of the study on modern neural science, is a man-made network that can implement some functions based on the mans comprehensive understanding for cerebral neural network (HAN, WANG, 1997). ANN is a mathematical model of simplified human brain neural network and is used to simulate the structures and functions of human brain neural network. ANN is a complex netw…
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| 收稿时间： | 26 December 2001 |
| 修稿时间： | 14 March 2002 |
Application of genetic BP network to discriminating earthquakes and explosions |
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| Bian Yin-ju.Application of genetic BP network to discriminating earthquakes and explosions[J].Acta Seismologica Sinica(English Edition),2002,15(5):540-549. |
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| Authors: | Bian Yin-ju |
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| Institution: | Institute of Geophysics, China Seismological Bureau, Beijing 100081, China |
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| Abstract: | In this paper, we develop GA-BP algorithm by combining genetic algorithm (GA) with back propagation (BP) algorithm and establish genetic BP neural network. We also applied BP neural network based on BP algorithm and genetic BP neural network based on GA-BP algorithm to discriminate earthquakes and explosions. The obtained result shows that the discriminating performance of genetic BP network is slightly better than that of BP network. |
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| Keywords: | artificial neural network BP algorithm genetic algorithm |
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