摘要
本文首先分析了组成单层逻辑神经元网络(SDLN)的逻辑神经元与McCulloch-Pitts 神经元之间的差异,指出了逻辑神经元可用二值逻辑设备(如RAM)实现的特点.其次,讨论了基于SDLN的通用自适应模式识别系统的结构和工作过程.
This paper analyses,first of all,the differencesbetween McCulloch-Pitts neural model and logicalneural model which structures the single-layer logicalneurel network(SDLN),and indicates the featureof implementation with Boolean logical device(suchas RAM).Then,architecture and principle of ge-neral-purpose adaptive,pattern recognition system.based on SDLN,are discussed.
出处
《微电子学与计算机》
CSCD
北大核心
1990年第8期1-3,共3页
Microelectronics & Computer
关键词
逻辑神经元
模式识别
自适应
Logic Neuron
Adaptive Pattern Recognition
Connectionist Machine
