有色噪声扰动下的神经网络结构

在有色噪声环境下，通常的神经网络不能进行有效学习。本文引入一个噪声处理器对神经网络加以改进，使之能进行有效学习，并在运行阶段能跟踪系统输出，一个仿真例子用来说明改进后神经网络的性能。

The Structure of Neural Network under Color Noise

In color noise environment, general neural network can not learn efficiently.In this paper, a noise processor is introduced to improve the neural network's property. So it can learn efficiently and can trace the output of the system in running time. A simulated example is given to represent the property of the improved neural network.