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| 时变容错域的感知联想记忆模型及其实现算法 | |
| 引用本文： | 杨国为,涂序彦,王守觉.时变容错域的感知联想记忆模型及其实现算法[J].计算机学报,2006,29(3):431-440. |
| 作者姓名： | 杨国为 涂序彦 王守觉 |
| 作者单位： | 1. 青岛大学模式识别与智能系统研究所,青岛,266071;中国科学院半导体研究所神经网络实验室,北京,100083 2. 北京科技大学计算机与系统科学研究所,北京,100083 3. 中国科学院半导体研究所神经网络实验室,北京,100083 |
| 基金项目： | 中国科学院资助项目;教育部科学技术研究项目;中国博士后科学基金 |
| 摘 要： | 提出并用软件实现了一种时变容错域的感知联想记忆模型．该模型有以下特点：（1）模拟了大脑联想记忆的容错域随时间变化的特点．模型可以根据记忆样本的重要性，为记忆样本在不同时间设计适当的容错域;（2）实现了”维到m维空间的无穷值模式非线性联想，而且该模型的样本容错域充满整个实空间R^n，模型没有伪吸引子；（3）联想记忆速度快． |
| 关 键 词： | 联想记忆 神经网络 时变容错域 人工生命 人工脑 |
| 收稿时间： | 2004-10-10 |
| 修稿时间： | 2004-10-102005-11-26 |
A Time-Varying Fault-Tolerant Field Perceptive Associative Memory Model and Its Realization Algorithms |
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| YANG Guo-Wei,TU Xu-Yan,WANG Shou-Jue.A Time-Varying Fault-Tolerant Field Perceptive Associative Memory Model and Its Realization Algorithms[J].Chinese Journal of Computers,2006,29(3):431-440. | |
| Authors: | YANG Guo-Wei TU Xu-Yan WANG Shou-Jue |
| Affiliation: | 1.Institute of Pattern Recognition and Intelligent System, Qingdao University, Qingdao 266071;2.Laboratory of Artificial Neural Network, Institute of Semiconductors, Chinese Academy o f Sciences, Beijing 100083;3.Institute of Computer and System Science, University of Science and Technology Beijing, Beijing 100083 |
| Abstract: | A time-varying fault-tolerant field perceptive associative memory model is proposed and realized by software.One of the characters of this model is that it simulates the time-dependent changeability character of the fault-tolerant field of human brain's associative memory.This model can design proper fault-tolerant field for memory sample at different time according to the essentiality of memory sample.The second character is that it realizes the nonlinear association of infinite value pattern from n dimension space to m dimension space.And the fault-tolerant field of the memory samples is full of the whole real space R~(n) and the associative memory model has no spurious attractors.The third character is that the speed of associative memory about the model is faster. |
| Keywords: | associative memory neural network time varying fault-tolerant field artificial life artificial brain |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |