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MECHANICAL PROPERTY PREDICTION MODEL OF STRIP BASED ON PSO-BP NEURAL NETWORK

机译:基于PSO-BP神经网络的条带力学性能预测模型

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摘要

Mechanic property prediction of hot rolled strip has enormous economic benefits and vast applied prospect.BP neural network is used almost in Mechanic property prediction of hot rolled strip in literatures.But BP has local infinitesimal defect.Combined with PSO (Particle Swarm Optimization) global optimization algorithm,a new PSO-BP neural network is established.The PSO-BP algorithm takes on advantages of global optimization ability,the rapid constringency of BP rapid training algorithm,the ability of nonlinear approach of multilayer feedforward network,and improves the performance of Neural Network.PSO-BP neural network model has good application foreground.
机译:热轧带钢的力学性能预测具有巨大的经济效益和广阔的应用前景。文献中几乎将BP神经网络用于热轧带钢的力学性能预测,但BP具有局部极小缺陷。结合PSO(粒子群优化)全局优化PSO-BP算法具有全局优化能力,BP快速训练算法的快速收敛性,多层前馈网络的非线性求解能力,提高了神经网络的性能。 Network.PSO-BP神经网络模型具有良好的应用前景。

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