计算机与数字工程2011，Vol.39Issue(11)：161-164,4.
基于MATLAB的神经网络数字逻辑设计及性能比较
Design of Neural Network for Digital Logics and Performance Comparison Based on MATLAB
黄源 1吕伟锋1
作者信息
- 1. 杭州电子科技大学电子信息学院,杭州,310018
- 折叠
摘要
Abstract
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.关键词
神经网络/数字逻辑/稳健性/网络训练Key words
Nerural network/ digital logics/ viability/ network training分类
信息技术与安全科学引用本文复制引用
黄源,吕伟锋..基于MATLAB的神经网络数字逻辑设计及性能比较[J].计算机与数字工程,2011,39(11):161-164,4.
