质量变化预测的两种支持向量机回归模型

2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration Pub Date : 2015-12-03 DOI:10.1109/ICIICII.2015.118

Jianghui Zeng, Shuofang Zheng, Bangjun Wang

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引用次数: 0

摘要

本文提出了两种质量变化的支持向量机回归模型。通过两个质量变异预测案例，基于训练和测试结果的均方误差和相对错误率，分析了支持向量机回归和神经网络的方法，验证了两种模型的有效性。

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Two Support Vector Machine Regression Models for Quality Variation Prediction

In this paper, two support vector machine regression models for quality variation were put forward. Through two quality variation prediction cases, based on mean square error and relative error rate of the training and test result, the method of the support vector machine regression and neural networks was analyzed, and effectiveness of the two models was verified.

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来源期刊

2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration

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