Gating Artificial Neural Network Based Soft Sensor

被引：0

作者：

Kadlec, Petr ^{[1
]}

Gabrys, Bogdan ^{[1
]}

机构：

[1] Bournemouth Univ, Computat Intelligence Res Grp, Poole BH12 5BB, Dorset, England

来源：

NEW CHALLENGES IN APPLIED INTELLIGENCE TECHNOLOGIES | 2008年 / 134卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work proposes a novel approach to Soft Sensor modelling, where the Soft Sensor is built by a set of experts which are artificial neural networks with randomly generated topology. For each of the experts a meta neural network is trained, the gating Artificial Neural Network. The role of the gating network is to learn the performance of the experts in dependency on the input data samples. The final prediction of the Soft Sensor is a weighted sum of the individual experts predictions. The proposed meta-learning method is evaluated on two different process industry data sets.

引用

页码：193 / 202

页数：10

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