模糊神经网络中用于分类的几种误差函数的性能比较

The Property Comparison of Error Functions in Fuzzy Neural Network

模糊神经网络在分类应用领域有着很好的应用前景,在分类应用中,误差函数的选择对于能否取得好的分类效果至关重要,对几种常用的误差函数的性能进行了比较分析,其结论有助于应用神经网络进行分类时对误差函数的选择.

Fuzzy neural network has a very well prospect for classification. In the classifying application of neural network, the choose of error function is very important for the classify result. The property of some error functions was analysed and the yesult will help to choose the error function when using neura l network..