Study on wood drying based on neural network and expert system

被引：0

作者：

Ren Hong-e ^{[1
]}

Chen Long ^{[1
]}

Guo Ji-feng ^{[1
]}

机构：

[1] NE Forestry Univ, Informat & Comp Engn Coll, Harbin 150040, Peoples R China

来源：

MATERIALS, MECHATRONICS AND AUTOMATION, PTS 1-3 | 2011年 / 467-469卷

关键词：

wood drying; artificial Neural Network; expert system;

D O I：

10.4028/www.scientific.net/KEM.467-469.1164

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wood drying is a complicated non-linear process that is lagged, time-variable and coupling. For them, it is difficult to build up ideal drying model, which is corresponding to reality. The paper put forward the drying method of vacuum dehumidification. This drying method is based on neural network and expert system. The test results showed that the control method were better than traditional PID control. The control system could meet requirement of precision and a fast convergence and small overshoot.

引用

页码：1164 / 1169

页数：6

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