Summary
In this paper some remarks on predictive modeling of traction power consumption and their use in intelligent control systems are stated. Special emphasis is put on discussing neural networks and genetic algorithms for such models described in the second Chapter. In the third Chapter, significant applications of neural networks and genetic algorithms in area of power consumption and train diagram are stated. A methodology of model development and assessment is presented in Chapter 4. In Chapter 5 there are up to now results of the author's traction power consumption prediction coming out from artificial neural network predictive models developed in Mathematica© SW environment. Finally, summary and further work are stated in the last Chapter.
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Extract
Artificial Intelligence Methods Used for Predicting Traction Power Consumption
1. Introduction
Transport is a significant component of today World, it influences human lives, economics and it is still developing quickly. On the other hand, it is clear today that transport damages environment and that energy sources are limited [9]. It is therefore necessary to use energy for transport as economically as possible. More ...See the full content of this document
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