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

2007 IEEE International Conference on Granular Computing (GRC 2007) Pub Date : 2007-11-02 DOI:10.1109/GrC.2007.25

HuiYu Jiang, Min Dong, Xiangpeng Li, Feng Yang

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引用次数: 4

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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2007 IEEE International Conference on Granular Computing (GRC 2007)

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