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Zhang Dazhi
Sun Yikang
National Engineering Research Center
for Advanced Rolling Technology,
University of Science &
Technology Beijing,
Beijing 100083, China
Wang Yanping
Cai Hengjun
Production Planning Department,
Angang, New Steel Co. LTD, Anshan,
Anshan 114021, China |
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MENDED GENETIC BP NETWORK
AND APPLICATION TO ROLLING
FORCE PREDICTION OF 4-STAND
TANDEM COLD STRIP MILL
Abstract:
In order to make good use of the ability to approach any function of BP (back propagation) network and overcome its local astringency, and also make good use of the overall search ability of GA (genetic algorithms), a proposal to regulate the network’s weights using both GA and BP algorithms is suggested. An integrated network system of MGA (mended genetic algorithms) and BP algorithms has been established. The MGA-BP network’s functions consist of optimizing GA performance parameters, the network’s structural parameters, performance parameters, and regulating the network’s weights using both GA and BP algorithms. Rolling forces of 4-stand tandem cold strip mill are predicted by the MGA-BP network, and good results are obtained.
Key words: Genetic algorithms BP algorithms Neural network Tandem cold strip mill Rolling force prediction
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