二进神经网络的Boolean函数化简  

The Simplification of Boolean Functions of Binary Feedforward Neural Network

作　　者：贺勤斌[1] 

机构地区：[1]台州学院数学与信息工程学院,浙江临海317000

出　　处：《台州学院学报》2010年第3期13-19,共7页Journal of Taizhou University

基　　金：台州学院校立项目(082D04)

摘　　要：利用二进神经网络方法对Boolean函数逻辑化简具有理论研究与实际应用意义。通过二进神经网络化简复杂非线性可分Boolean函数的方法,说明对非线性可分Boolean函数化简采用二进神经网络方法能够取得比传统方法更加高效、简便的化简。同时,给出几个二进神经网络化简非线性可分Boolean函数的实例,具体说明该方法的有效性。There is some significance in theoretical study and practical application by using the method of Bina-ry Feedforward Neural Networks to simplify Boolean function.In this paper,by using the method of Binary Feedforward Neural Networks,we simplify Boolean function to show that simplification method sometimes is more efficient and simple than the traditional methods.In addition,examples are given to illustrate the effec-tiveness of the method.

关 键 词：卡诺图 二进神经网络 神经元 Boolean函数 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]