基于神经网络和模糊规则的木板分类

Proceedings II Workshop on Cybernetic Vision Pub Date : 1996-12-09 DOI:10.1109/CYBVIS.1996.629462

C.A. de Franca, A. Gonzaga, A. Slaets

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引用次数: 2

摘要

模糊神经系统已经应用于许多工程任务中。模糊神经元在模式分类中非常有用，因为它们提供了一个隶属度信息，而不是像“0”(坏)或“1”(好)这样的数值批评值。本文介绍了一种神经网络在木板自动分类中的应用。基本处理单元由两种类型的通用OR和and神经元组成，结构为四层拓扑结构。

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Classification of wooden boards by neural networks and fuzzy rules

Fuzzy-neural systems have been applied to many engineering tasks. Fuzzy neurons in pattern classification are extremely useful because they provide a degree of membership information instead of numerical critic values such as "0" (bad) or "1" (good). This paper describes a neural network application for automatic classification of wooden boards. The basic processing unit consists of two types of generic OR and AND neurons structured in a four layer topology.

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Proceedings II Workshop on Cybernetic Vision

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