Usage of Multilayer Perceptron Type Neural Network in Control of Electric Train Passengers’ Interior Heating System

Proceedings of the 24th ISPE International Conference on CAD/CAM, Robotics & Factories of the Future 2008
Ivars Beinarts, Anatolijs Ļevčenkovs

The main idea of this paper is to use Multilayer Perceptron type artificial neural network and intelligent program agents to create an algorithm and coordination mechanism for climate parameters control to save electrical energy and keep high comfort level in the object. Interest is concentrated on the climate parameters optimization in passengers’ interior of public electric transportation vehicles. The article presents mathematical problem using intelligent agents in mechatronics problems for climate parameters optimal control. The methods of the problem solving and structure of problem solving algorithm are given in the article.

Atslēgas vārdi
Neural network, heatig system control, electric transport

Beinarts I., Ļevčenkovs A. Usage of Multilayer Perceptron Type Neural Network in Control of Electric Train Passengers’ Interior Heating System // Proceedings of the 24th ISPE International Conference on CAD/CAM, Robotics & Factories of the Future, Japāna, Koriyama, 29.-31. jūlijs, 2008. - 132.-137. lpp.

Publikācijas valoda
English (en)