基于BP神经网络的织机工艺质量预测模型研究

Research on Loom Craft Quality Prediction Model Based on BP Neural Network

以某大型纺织企业织造工艺计算机辅助设计系统为应用背景,构建了基于BP神经网络的织机工艺质量预测模型,并且采用标准粒子群算法优化训练该神经网络模型中各层结点之间的连接权值以及结点的阈值。经过对所建预测模型的测试,证明该预测模型具有较高的泛化能力和研究价值。

ln this paper,a loom craft quality prediction model is constructed based on BP neural network and it is applicated in a large textile enterprise＇s loom craft CAD system.Using standard particle swarm optimization optimize the connection weights between the layers and the thresholds of nodes of this BP neural network.By testing the constructed model,it is proved that the predictive model has a good predict ability and is worthy to be studied.