@inproceedings{660145ba69304aab8b65657097eabb70,
title = "Identification of the energy characteristics of a cowper stove with the application of neural modeling",
abstract = "The optimization of operational parameters in the control systems requires the application of a mathematical model of the investigated process. Analytical models are usually complicated and they require a relatively long computational time. For optimization purposes more convenient are empirical models which express the main characteristic of the behaviour of the investigated process. One of the basic methods of empirical modelling is the application of neural networks. The paper presents the results of the application of neural modelling to identity the energy characteristic of a Cowper stove. The results of the numerical experiment have been obtained basing on the mathematical model of a Cowper stove. The estimation of parameters of the neural model of a Cowper stove has been carried out by means of back-propagation method.",
keywords = "Cowper stoves, Neural networks, On-line optimisation, Process identification",
author = "Wojciech Stanek and Henryk Rusinowski",
year = "2006",
language = "English",
series = "ECOS 2006 - Proceedings of the 19th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems",
publisher = "National Technical University of Athens",
pages = "397--403",
editor = "Frangopoulos, \{Christos A.\} and Rakopoulos, \{Constantine D.\} and George Tsatsaronis",
booktitle = "ECOS 2006 - Proceedings of the 19th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems",
address = "United States",
note = "19th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2006 ; Conference date: 12-07-2006 Through 14-07-2006",
}