神经网络辨识不受非线性模型的限制,它依据被辨识系统的输入输出数据对,通过学习得到一个描述系统输入输出关系的非线性映射。给定一个输入,即可得到一个输出,而不需要知道输入输出之间存在着怎样的数学关系。这种自学习特点使得神经网络在解决复杂非线性问题方面具有其独特的优势。-Neural network identification of nonlinear model without restrictions, it was recognition system based on the input and output data, by learning to get a descr iption of the relationship between input and output nonlinear mapping. Given an input, you can get an output between input and output without the need to know what kind of mathematical relationship exists. This self-learning features make the neural network to solve complex nonlinear problem has its unique advantages.