基于神经网络的模式识别及其应用

The application of pattern recognition based on the neural network

神经网络系统具有自学习和自适应的能力 ,同时有很强的容错性和鲁棒性 ,善于联想、综合和推广 ,故特别适用于处理难于语言化的模式信息。本文简述了 BP神经网络的基本原理及其在模式识别中的应用 ,并进行了相应的仿真。

Neural network system is a self-learning ,adaptive system , and it is easy to associate ,synthesize and generalize with its properties of fault-tolerance and robustness So, it is available to process the pattern information, which is hard to describe with language The paper expounded the fundamental principle of BP neural network and its application and simulation