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《Chinese Journal of Geophysics》 2001-01
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PREDICTION OF DISTURBANCES IN THE IONOSPHERE BY USING THE ARTIFICIAL NEURAL NETWORK

LIU WEN JIAO PEI NAN (China Research Institute of Radiowave Propagation, Xinxiang 453003, China) [  
A new method for predicting disturbances in the ionosphere by using the Artificial Neural Network (ANN) has been presented. We have inherited conventional prediction ideal and, at first, analyzed the solar terrestrial phenomena which are thought to be related with the ionospheric disturbances to define the out put and in put parameters of network. The prediction error is less than 20%. When putting the ANN into actual application, we should have good physical knowledge about the application, so that we can take better advantage of the Neural Network. In this paper we put our emphasis on how to construct the network, and use the ANN to recognize the single type ionosphere disturbance, the accuracy rate is 95%. All those work we have done can prove to some extent, that the method of the ANN for predicting disturbances in the ionosphere is effective and reasonable. [
【Fund】: 电子科学院军事电子预研基金项目! (DJ7.3 .3 .1 ) .
【CateGory Index】: P352.4
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