摘要
In this paper, an improvement is made on the method of the pattern recognition ICHAM. It is proposed to use the iterative centre as the Hamming kernel. And new weight coefficient calculating the Euclidean distance is given. Through varying the control parameter, the minimum ratio of the erroneous recognition is sought. Through classsificatory recognition on two calculative examples and strong earthquakes in the north section of the North-South Seismic Belt, the results indicate that the classificatory effect of the method improved in this paper is better than the ICHAM method. It is more suitable to do the classificatory recognition for general distributive samples.
In this paper, an improvement is made on the method of the pattern recognition ICHAM. It is proposed to use the iterative centre as the Hamming kernel. And new weight coefficient calculating the Euclidean distance is given. Through varying the control parameter, the minimum ratio of the erroneous recognition is sought. Through classsificatory recognition on two calculative examples and strong earthquakes in the north section of the North-South Seismic Belt, the results indicate that the classificatory effect of the method improved in this paper is better than the ICHAM method. It is more suitable to do the classificatory recognition for general distributive samples.
