文件名称:BTP_Prediction_based_on_BPNN
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该论文将神经网络应用到烧结终点的预测中,并结合主元分析、灰色理论等人工智能技术,建立了实用有效的预测模型。该方法成功应用于某钢铁企业280m2大型烧结机的在线控制。经过验证,该方法克服了人工判断的随机性,针对不同工况准确预报烧结终点,该预报值可用来指导生产或送控制计算机,为烧结终点智能控制提供操作依据。-In this paper,ANN technology is applied to build the practical and
useful prediction model of BTP,which iS combined with other artificial
intelligent technology such as PCA.gray theory.The method of BTP
intelligent prediction has been successfully applied in on—line control of sintering in 280m2 plant of some iron—steel company.nle result shows.the method Call avoid the randomness of artificial judgment,and providean accurate prediction BTP position under all kinds of state of sintering process,the predict result Can be used to guide the operators or to be used as the dependence o fintelligent control of BTP
useful prediction model of BTP,which iS combined with other artificial
intelligent technology such as PCA.gray theory.The method of BTP
intelligent prediction has been successfully applied in on—line control of sintering in 280m2 plant of some iron—steel company.nle result shows.the method Call avoid the randomness of artificial judgment,and providean accurate prediction BTP position under all kinds of state of sintering process,the predict result Can be used to guide the operators or to be used as the dependence o fintelligent control of BTP
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BTP_Prediction_based_on_BPNN.pdf
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