Improved Algorithm of BP Neural Network and its Application to Prediction of K/S Value in Dyeing with Reactive Dyes

HuiYu Jiang, Min Dong, Xiangpeng Li, Feng Yang
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引用次数: 4

Abstract

Traditional algorithm of BP neural network has been mended and an improved predictive model using L-M method has been carried out to calculate the K/S values in dyeing with reactive dyes in this article. The results showed L-M method is superior in the prediction by comparing traditional and improved algorithm. Shorter predictive time and higher predictive veracity were obtained in the later.
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改进的BP神经网络算法及其在活性染料染色K/S值预测中的应用
本文对传统的BP神经网络算法进行了改进,采用L-M法建立了一种改进的预测模型来计算活性染料染色的K/S值。通过对传统算法和改进算法的比较,结果表明L-M方法具有较好的预测效果。后者的预测时间较短,预测准确率较高。
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