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由于支持向量机方法具有推广能力强、拟合精度高、全局最优等特点,将支持向量机应用于对经济发展水平的预测中,建立基于支持向量机的经济预测模型,近年来受到了广泛的关注,并得以迅速发展.但在处理大数据时,求解支持向量机对应的二次规划问题是非常棘手的,如何有效求解支持向量机是一个不可回避的研究课题.光滑支持向量机是标准支持向量机的一种改进形式,其在经济走势预测中的应用已显示出了优越性.本文主要介绍了光滑技术在支持向量机中的应用及具体算法.
Because SVM has the characteristics of strong promotion ability, high fitting accuracy and global optimum, SVM is applied to the prediction of economic development level, and the economic forecasting model based on SVM is established. In recent years, the SVM has been widely Attention, and rapid development.But in dealing with big data, solving the quadratic programming problem of support vector machine is very tricky, how to effectively solve the problem of support vector machine is an unavoidable research problem.Linear support vector machine is the standard support An improved form of vector machine has shown its superiority in the application of economic trend forecasting.This paper mainly introduces the application of smoothing in support vector machines and the specific algorithms.