Investigation on artificial ant using analytic programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Impact of weather inputs on heating plant: agglomeration modeling
NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
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ECC'08 Proceedings of the 2nd conference on European computing conference
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This article deals with Analytic Programming (AP) which was proven to be highly effective tool of Artificial Neural Network (ANN) synthesis and optimization. AP is successfully applied here to evolve such ANN which is able to approximate heating power consumption of an agglomeration, in dependence on time and atmospherics temperature, more accurately than standard methods. An experiment described in the paper was realized on real life data from Most agglomeration and heating plant situated in Komořany, Czech Republic. Resulted ANN brings 19% increase of approximation accuracy.