Application of Double Hidden Layer Process Neural Network on Wood Drying modeling

摘要：

Aiming at time-varying and complex nonlinear characteristics in the wood drying process, a double hidden process neural network was introduced into wood drying modeling. Time-varying and complex nonlinear characteristics of wood drying were considered adequately in wood drying model by time series data of main influence factors fitted to time-varying functions as network input. The concrete modeling process and learning algorithm were given. The effectiveness of method is proved by ash wood drying. It provides a new way for complex system identification. 

作者: Li GE Gui-sheng YIN

作者单位: College of Computer Science and Technology, Harbin Engineering University, Harbin, P.R.China School College of Computer Science and Technology, Harbin Engineering University, Harbin, P.R.China

会议类型: 国际会议

会议名称: 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management(2011 IEEE 第十八届工业工程与工程管理国际会议 IEEM2011)

会议地点: 长春

会议语种:英文

页码: 1645-1647

在线出版日期: 2011-09-03（万方平台首次上网日期，不代表论文的发表时间）