Principle of Rule-Based Interrelation Neural-Inference Decision

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- Principle of Rule-Based Interrelation Neural-Inference Decision
- Acta Electronica Sinica Issue 7, (1994)
- 作者机构：
  
  西安电子科技大学
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1994
- 稿件说明：
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[1]郭雷,郭宝龙.基于规则的关联性神经推理判决原理[J].电子学报,1994(07):89-93.

郭雷, 郭宝龙. Principle of Rule-Based Interrelation Neural-Inference Decision[J]. Acta Electronica Sinica, 1994, (7).
[1]郭雷,郭宝龙.基于规则的关联性神经推理判决原理[J].电子学报,1994(07):89-93. DOI：

郭雷, 郭宝龙. Principle of Rule-Based Interrelation Neural-Inference Decision[J]. Acta Electronica Sinica, 1994, (7). DOI：

推理活动是人类智能的表现，神经推理的基本依据是关联性质，其特点是分布式闭环弱推理，本文提出和描述了一类实现关联性推理的神经结构，并利用分类问题阐明它在实际问题中的工作原理。

Inference is the embodiment of human intelligence.Neural inference is a distributed inference form based on distributed rules.Typically

it is weak and closed-loop inference

and its base is interelation.The paper presents and describes some neural circuits to realize neural inference

and explains its principle with classificatory problems

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