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熊猫宝宝
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Software sensor has been considered as an efficient tool to deal with the difficulty of unmeasurable primary output. Generalization of neural network model can be significantly improved by combining several models. The approach to build software sensor model by multiple neural networks (MNN) based on Kmeans clustering method is presented. The MNN model is developed by several feedforward neural network models. Those models are combined by principal components regression. Software sensor mo...

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youjian000
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主要输出组无法测量这个难题,人们已经认为处理它的有效工具是软件传感器。通过联合几种模式可以明显提高神经网络模式的通用性。本文描述了基于K均值聚类算法原理,由多神经网络(MNN)建立软件传感器的方法。MNN模式是通过几个前馈神经网络模式发展而来的。这些模式通过主成分回归而联合在一起。
该帖子作者被版主 redanqi5积分, 2经验,加分理由:应助
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Last edit by youjian000
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原文由 cbjcn1985 发表:
Software sensor has been considered as an efficient tool to deal with the difficulty of unmeasurable primary output. Generalization of neural network model can be significantly improved by combining several models. The approach to build software sensor model by multiple neural networks (MNN) based on Kmeans clustering method is presented. The MNN model is developed by several feedforward neural network models. Those models are combined by principal components regression. Software sensor mo...

求助一段文章摘要的翻译:


翻译如下:
软件传感器被确认为是一种很难的、无法计量的主要输出的有效工具,普通的神经网络模型被几个模型结合起来进行值得注目地改良,基于聚类算法通过多神经网络而接近于建筑软件传感器模型被呈现,多神经网络模型通过几个电子前馈网络模型被揭露,那些模型是通过主要成分衰退而结合,软件传感器...
以上翻译不妥,敬请指教!
该帖子作者被版主 redanqi1积分, 2经验,加分理由:谢谢参与 最好再斟酌下
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