An artificial neural network for classification a quality of a coal fuel in combustion chambers using FPAA

Abstract

A hardware artificial neural network for classification a quality of a coal fuel in combustion chambers is presented in the paper. Proposed method is based on an analysis of measured combustion process parameters in the chamber by the feedforward artificial neural network. Measured parameters have been used to train neural network weights with a help of… (More)
DOI: 10.1109/MIXDES.2016.7529723

Topics

8 Figures and Tables

Cite this paper

@article{Suszynski2016AnAN, title={An artificial neural network for classification a quality of a coal fuel in combustion chambers using FPAA}, author={Robert Suszynski and Jacek Marciniak and Krzysztof Wawryn}, journal={2016 MIXDES - 23rd International Conference Mixed Design of Integrated Circuits and Systems}, year={2016}, pages={160-163} }