Knowledge processing system using multidirectional associative memory
Knowledge processing system using multidirectional associative memory
复制标题
使用多向联想记忆的知识处理系统
DOI：
10.1109/icnn.1995.487345
复制
发表时间：
1995
期刊：
影响因子：
--
通讯作者：
M. Hagiwara
中科院分区：
文献类型：
--
作者：
M. Hattori;M. Hagiwara
提出并仿真了一种基于多向联想记忆的知识处理系统。KP-MAM采用分布式知识表示，能够以语义网络的形式表示存储的知识。为了实现使用分布式表示的知识处理系统，KP-MAM实现了三元组关系关联、特征继承、异常处理、多对多关联和高存储容量五个功能。本文提出的KP-MAM具有以下特点：(1)利用分布式表示实现知识处理；(2)对噪声输入具有鲁棒性；(3)快速学习算法保证了所有训练数据的召回；(4)存储容量大。
A knowledge processing system using multidirectional associative memory (KP-MAM) is proposed and simulated. The KP-MAM uses distributed knowledge representation and can represent knowledge stored in a form of semantic network. In order to realize knowledge processing system using distributed representation, the KP-MAM enables the following five functions: associations of three-tuple relation, characteristics inheritance, exception processing, many-to-many associations and high storage capacity. The proposed KP-MAM has the following features: (1) It can realize knowledge processing using distributed representation; (2) It is robust for noisy inputs; (3) It guarantees recall of all training data owing to a quick learning algorithm; (4) It has high storage capacity.