Network of dynamic neurons in fault detection systems

被引：0

作者：

Korbicz, J ^{[1
]}

Obuchowicz, A ^{[1
]}

Patan, K ^{[1
]}

机构：

[1] Tech Univ Zielona Gora, Dept Robot & Software Engn, PL-65246 Zielona Gora, Poland

来源：

1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5 | 1998年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Neural-Residual Generator (NRG) construction for a dynamic system is the goal of this paper. The neural networks modeling the dynamic system are constructed with dynamics models of artificial neurons, which contain inner feedbacks. Such a model consists of an adder module, a linear dynamic system and a nonlinear activation function. Two optimization problems are solved with NRG construction: searching for an optimal network architecture and Dynamic Neuron Model (DNM) network training. The boiler unit of a power plant is chosen as a modeled dynamic system.

引用

页码：1862 / 1867

页数：6

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