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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配料系统控制方法研究

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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:本文分析了多种成分控制方法的缺点。采用一定标记水泥的四组成分体系,证明对每种成分的比例控制不当会导致质量下降。目的是通过改革生料输入口,增加控制阀,使用模糊支持向量机来预测和控制生料的流速,解决样品数量有限,实时性强,生料流速不稳定的问题。 ,效果更好。本文对算法进行了验证,并在人工神经网络和常用核函数的基础上进行了对比实验。结果为类似问题提供了某种指导。

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