Temperature and Humidity Control System Identification Based on Neural Network in Heating and Drying System

Xiao Wei Zhang

doi:10.4028/www.scientific.net/AMM.686.439

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 686Temperature and Humidity Control System...

Temperature and Humidity Control System Identification Based on Neural Network in Heating and Drying System

Abstract:

Artificial neural network has unique advantages for massively parallel processing, distributed storage capacity and self-learning ability. The paper mainly constructs neural network identifier and neural network controller for system identification and control on temperature and humidity of heating and drying system of materials. And the paper introduces the structure and principles of neural network, and focuses on analyzing learning algorithm, training algorithm and limitation of the most widely applied multi-layer feed-forward neural network (BP network), based on which the paper proposes introducing momentum to improve BP network.

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Periodical:

Applied Mechanics and Materials (Volume 686)

Pages:

439-447

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.686.439

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Online since:

October 2014

Authors:

Xiao Wei Zhang

Keywords:

BP Algorithm, Humidity, Material Drying, Material Heating, Neural Network, Temperature

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