PREDICTION ON FIVE-STAND COLD ROLLING MILL OF ROLLING FORCE BY NEURAL NETWORK

2002 
The improved BP neural network, which adopted Levenberg Marquardt optimized algorithm has been used to predict rolling force on cold rolling mill In this algorithm, the parameter μ can be adaptively adjusted, the network convergence speed is higher The precision of rolling force prediction has been improved It has provided a new precise and high efficiency way for rolling force prediction on cold rolling mills
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