Modeling of temperature-humidity for wood drying based on time-delay neural network

被引：22

作者：

Dong-yan Zhang

Li-ping Sun

Jun Cao

机构：

[1] Northeast Forestry University,

来源：

Journal of Forestry Research | 2006年 / 17卷 / 2期

关键词：

Wood drying; Temperature-humidity model; System identification; Time-Delay neural network; S781.71;

D O I：

10.1007/s11676-006-0033-1

中图分类号：

学科分类号：

摘要：

The temperature-humidity models of wood drying were developed based on Time-delay neural network and the identification structures of Time-delay neural network were given. The controlling model and the schedule model, which revealed the relation between controlling signal and temperature-humidity and the relation between wood moisture content and temperature-humidity of wood drying, were separately presented. The models were simulated by using the measured data of the experimental drying kiln. The numerical simulation results showed that the modeling method was feasible, and the models were effective.

引用

页码：141 / 144

页数：3

共 16 条

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