In this paper, we introduce a new class of kernel functions and try to combine Kmean, EM, and new kernels together, instead of using linear function, we introduce nonlinear softmax output function and cross entropy error function into RBF networks. The resulting network is easy to use, and has favorable classification accuracy. Experiments show that our new model has better performance than traditional RBF neural networks and is super compared with MLP and other nonparametric classification tools.
['Zhenqiu Liu', 'Hamparsum Bozdogan']
RBF neural networks for classification using new Kernel functions