Abstract
The authors describe the structure of an Intelligent Prediction System (IPS) basing on neural networks simulated in the STATISTICA Neural Networks artificial intelligence package. The system has been adopted in the process of predicting regional heat use. The authors focus on the methods applied to select optimum neural networks in the prediction mode of the analysed phenomenon and present prediction results for the best networks.
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Kiełtyka, L., Kucęba, R., Sokołowski, A. (2004). Application of Neural Network Topologies in the Intelligent Heat Use Prediction System. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_178
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DOI: https://doi.org/10.1007/978-3-540-24844-6_178
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22123-4
Online ISBN: 978-3-540-24844-6
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