Intrusion detection system based on spline neural network
基于样条权函数神经网络的入侵检测*

Proposed a new model to adviod the flaw of popular intrusion detection system(IDS).The network's topology is very simple and the number of neuron needed for solving the problem under investigation is independent of the number of patterns.The trained weights consist of cubic spline functions,in sfeed of a constant like the popular learning algorithm such as backbpropagation(BP) or radial basis function network.The model overcomes some flaws of popular learning algorithm such as local minima,slow convergence ...