基于MATLAB的神经网络数字逻辑设计及性能比较

文章利用神经网络实现基本的数字逻辑功能,并在MATLAB上进行了仿真。通过加入带有噪声的输入值以测试网络的稳健性能,这是一个比较和优化不同网络性能的过程。为了找到能够更好地实现基本数字逻辑的网络模型和训练算法,文中对感知器网络、BP网络和RBF网络做出了一系列的比较分析。尤其是对BP网络中的不同训练算法,均根据MATLAB的仿真情况文中做出了比较,结果可作为网络选用依据。

Design of Neural Network for Digital Logics and Performance Comparison Based on MATLAB

In this paper,a neural network（NN） have been desgined to accomplish the function of digital logics and simulating it on the MATLAB.Then,some input with noise was given to test the its viability.It＇s a process of comparing and optimizating the performance of the different neural networks.In oder to find the better model and the training algorithm for realizing the basic digital logics.This parper makes a series comparison of the perceptron network,the BP network and the RBF network.Especially,some comparsion have been made about a few different training algorithms in BP network base on the simulation.