Abstract
The possibility is considered for using the multilayer perceptron and radial-function neural networks for predicting the load on excavating machines. The analysis of stochastic change in the cutting force is required to study the processes of mineral excavation by the combined cutter loader. The methods based on the fuzzy expert systems are proposed for controlling these processes in real time.
Similar content being viewed by others
REFERENCES
D. Putkowska, M. Pilinski, and L. Rutkowski, Sieci Neuronowe Algorytmy Genetyczne i Systemy Rozmyte [in Polish], PWN, Warszawa-Łódz (1999).
S. Osowski, Sieci Neuronowe do Przetwarzania Informacji [in Polish], Oficyna Wyd. Pol. Warszawskiej, Warszawa (2000).
J. Kosmol (ed.), Monitorowanie Ostrza Skrawajacego [in Polish], WNT, Warszawa (1996).
J. Jonak, “Utilization of artificial intelligence in automation problems of rock cutting by mining machines,” in: Proceedings of the IInd International Conference on Mining Techniques 2002 [in Polish], Kraków (2002).
R. R. Yager and D. P. Filev, Essentials of Fuzzy Modeling and Control, Wiley.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Jonak, J. Possibility of Neural Network Application for Predicting the Load on Excavating Machines. Journal of Mining Science 38, 397–401 (2002). https://doi.org/10.1023/A:1023372122483
Issue Date:
DOI: https://doi.org/10.1023/A:1023372122483