Study on Temperature Control System of Film Laminating Machine

Abstract:

The recursive compensatory fuzzy neural network model was established against the characteristics of temperature control for film laminating machine. The neural network can be used to construct the fuzzy system, and the self-adaptive and self-learning capability of neural networks was used to automatically adjust fuzzy system parameters, BP network could be learned and trained by the gradient descent algorithm. Based on the test data for the study and testing of network, system error is less than the national standard error requirements, the results proved the effectiveness and feasibility of the algorithm.

• Periodical: Applied Mechanics and Materials (Volumes 397-400)
• Pages: 1263-1270
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.397-400.1263
• Online since: September 2013
• Authors: Li Ming Guan, Jia Xing Tian, Chen Lu, We Zhang
• Keywords: BP Algorithm, Film Laminating Machine, Fuzzy Neural Network (FNN), Temperature Control

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