Hybrid distributed/local connectionist architectures

International 1989 Joint Conference on Neural Networks Pub Date : 1992-01-02 DOI:10.1109/IJCNN.1989.118344

Tariq Samad

引用次数: 8

Abstract

Summary form only given, as follows. A class of neural network architectures is described that uses both distributed and local representation. The distributed representations are used for input and output, thereby enabling associative, noise-tolerant interaction with the environment. Internally, all representations are fully local. This simplifies weight assignment and makes the networks easy to configure for specific applications. These hybrid distributed/local architectures are especially useful for applications where structured information needs to be represented. Three such applications are briefly discussed: a scheme for knowledge representation, a connectionist rule-based system, and a knowledge-base browser.<>

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混合分布式/本地连接架构

仅给出摘要形式，如下。描述了一类同时使用分布式和局部表示的神经网络架构。分布式表示用于输入和输出，从而实现与环境的关联、噪声容忍交互。在内部，所有的表示都是完全本地的。这简化了权重分配，使网络易于针对特定应用进行配置。这些混合分布式/本地体系结构对于需要表示结构化信息的应用程序特别有用。本文简要讨论了三种这样的应用:一种知识表示方案、一种基于连接主义规则的系统和一种知识库浏览器

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International 1989 Joint Conference on Neural Networks

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