和声搜索算法; 模糊C均值聚类; 心理健康分析; 神经网络; 反向学习; 儿童
An Analysis of Children's Mental Health Based on IHSFCM
（School of Physical Education， Shanxi Preschool Teachers College， Xian， Shanxi 710100， China）
In order to improve the accuracy and efficiency of children's mental health analysis， the mental health status of children was analyzed from 8 dimensions by combining with the diagnostic test of mental health of primary and secondary school students. In view of the fact that FCM clustering results are easy to be affected by the selection of its initial clustering center， the harmony search algorithm is applied to the selection of FCM initial clustering center， and a children mental health analysis method based on IHSFCM is proposed. Compared with HSFCM and BPNN， IHSFCM can effectively improve the accuracy of children's mental health cluster analysis and provide a new method for children's mental health analysis.
harmony search algorithm; fuzzy cmeans clustering; mental health analysis; neural network; reverse learning; children