Rolling Force Prediction System of Cold Rolling Process Based on BP Neural Network

Wei Teng; Guang Ming Wang

doi:10.4028/www.scientific.net/AMR.690-693.2361

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 690-693Rolling Force Prediction System of Cold Rolling...

Rolling Force Prediction System of Cold Rolling Process Based on BP Neural Network

Abstract:

This paper took the example of rolling force prediction in the cold rolling process to describe the establishment and application of BP neural network prediction system. This system is a prediction model for generic process. Users can select different parameters to train the network structure according to their needs, and can calculate relative rolling force parameters based on the known structure. This system can provide very valuable process information for workers and researchers .

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Periodical:

Advanced Materials Research (Volumes 690-693)

Pages:

2361-2365

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.690-693.2361

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Online since:

May 2013

Authors:

Wei Teng, Guang Ming Wang

Keywords:

BP Algorithm, Cold Rolling Process, Neural Network (NN), Prediction

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