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

✍ Scribed by Dong-yan Zhang; Li-ping Sun; Jun Cao

• Book ID: 107471299
• Publisher: Springer
• Year: 2006
• Tongue: English
• Weight: 191 KB
• Volume: 17
• Category: Article
• ISSN: 1007-662X
• DOI: 10.1007/s11676-006-0033-1

✦ Synopsis

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.