A hybrid method for grade estimation using genetic algorithm and neural networks

DOI10.1007/S10596-008-9107-9zbMath1171.86383OpenAlexW2030863026MaRDI QIDQ732188

Mohammad Bagher Menhaj, Hamid Mahmoudabadi, Mohammad A. Izadi

Publication date: 9 October 2009

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-008-9107-9

zbMATH Keywords

neural networksgenetic algorithmKrigingMLPgrade estimationover-Fitting

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Learning and adaptive systems in artificial intelligence (68T05) Geostatistics (86A32)

Cites Work

• Comparative evaluation of neural network learning algorithms for ore grade estimation
• Multilayer feedforward networks are universal approximators
• Unnamed Item
• Unnamed Item

This page was built for publication: A hybrid method for grade estimation using genetic algorithm and neural networks