《基于自联想递阶神经网络的多输入参数化工过程软传感器(英文)》PDF+DOC

To explore the problems of monitoring chemical processes with large numbers of input parameters， a method based on Auto-associative Hierarchical Neural Network(AHNN) is proposed. AHNN focuses on dealing with datasets in high-dimension. AHNNs consist of two parts： groups of subnets based on well trained Autoassociative Neural Networks(AANNs) and a main net. The subnets play an important role on the performance of AHNN. A simple but effective method of designing the subnets is devel.....。

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