首页> 外文期刊>Journal of Forestry Research >Modeling of temperature-humidity for wood drying based on time-delay neural network
【24h】

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

机译:基于时延神经网络的木材干燥温湿度建模

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

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.
机译:基于时延神经网络建立了木材干燥的温湿度模型,给出了时延神经网络的辨识结构,给出了控制模型和调度模型,揭示了控制信号与温湿度之间的关系。分别给出了木材含水量与木材干燥温度-湿度之间的关系,并利用实验干燥窑的实测数据对模型进行了仿真,数值模拟结果表明该建模方法是可行的,模型是有效的。 。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号