摘要
阈值逻辑门具有很强的逻辑功能及独特的优点,用阈值逻辑门实现数字逻辑函数也一直受到关注。该文在研究阈值逻辑门性质的基础上,提出了一种基于阈值逻辑门的任意布尔函数综合的新算法。该算法引入了神经网络的学习法则和化简规则,不但具有简单规范的特点,同时降低了实现数字逻辑函数的复杂性。体现了基于阈值逻辑门综合布尔函数的有效性和优越性。
Realization of Boolean function base on threshold logic gate is always studied by researchers because its strong function and special advantage. A synthesis method of arbitrary Boolean function based on threshold logic gates is proposed after a study of its property, in which the train algorithm and simplification rule of neural networks are used in this paper, so it is simple and regular. Also the complex is reduced, Then the validity and superiority of the method of realization Boolean functions by threshold logic gates is displayed.
出处
《杭州电子科技大学学报（自然科学版）》
2006年第2期12-14,共3页
Journal of Hangzhou Dianzi University：Natural Sciences
关键词
阈值逻辑门
数字逻辑
布尔函数
神经网络
threshold logic gate
digital logic
Boolean function
neuron network
