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Research of multi ingredients system control method based on fuzzy support vector machine

机译:基于模糊支持向量机的多成分系统控制方法研究

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This paper analyzed shortcomings of multi ingredients control methods. The four-group Ingredient system of certain marked cement was adopted to prove that, improper proportional control of each ingredient will lose quality. Aimed at solve the problem of limited samples, strong real time, unstable flow speed of raw meal, through reforming the mouth of input of raw meal, adding the control valve and using fuzzy support vector machine to predict and control the flow speed of raw meal, the result was better. Algorithm was proved and contrast experiments were applied with ANN and common kernel functions in this paper. Results give some kind of guide for similar questions.
机译:本文分析了多重成分控制方法的缺点。采用某些标记水泥的四组成分系统证明,对每种成分的不当比例控制将失去质量。旨在解决有限的样本问题,强大的实时,未稳定的原料膳食流速,通过改造原始膳食的输入,加入控制阀并使用模糊支撑机预测并控制生膳的流速,结果更好。证明了算法,并在本文中应用了ANN和常见内核功能的对比实验。结果为类似问题提供了某种指南。

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