广义人工脑感知联想记忆模型及其实现算法  

A Perceptive and Associative Menory Model for Generalized Artificial Brain and the Algorithm of Its Realization

作　　者：杨国为[1] 涂序彦[2] 

机构地区：[1]青岛大学,青岛266071 [2]北京科技大学计算机与系统科学研究

出　　处：《中国医学影像技术》2003年第z1期70-71,共2页Chinese Journal of Medical Imaging Technology

基　　金：国家自然科学基金项目 (No .60 0 750 1 2 );山东省自然科学基金项目 (No.Y2 0 0 2G1 6)

摘　　要：提出一种广义人工脑感知联想记忆模型 ,给出它的实现算法。该模型能实现n维到m维空间的信息联想 ,且信息容量无限 ,每个输入样本有一个超长方体容错域 ,样本就在超长方体‘中心’。样本的容错域达到了极大。而且网络模型结构简单 ,实现时计算量小。A perceptive and associative memory model for generalized artificial brain and the algorithm of its realization are proposed. The model can realize information association from n dimension space to m dimension space. Its capacity for information is infinite.There is a generalized cuboid corrective error domain for every inputting sample, which is at the center of the domain. Moreover, the domain reachs maximum.The structure of the model is simple. The computational work to realize it are few.

关 键 词：人工生命 广义人工生命 人工脑 感知 联想记忆 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]