A hybrid simultaneous perturbation artificial bee colony and back-propagation algorithm for training a local linear radial basis neural network on ore grade estimation-Reference-Cited by-同舟云学术

A hybrid simultaneous perturbation artificial bee colony and back-propagation algorithm for training a local linear radial basis neural network on ore grade estimation

Published:2017-04 Issue: Volume:235 Page:217-227
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Jafrasteh Bahram,Fathianpour Nader

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference52 articles.

1. I.K. Kapageridis, B. Denby, Neural network modelling of ore grade spatial variability, in: ICANN 98, Springer, 1998, pp. 209–214.

2. Comparison of kriging and neural networks with application to the exploitation of a slate mine;Matias;Math. Geol.,2004

3. Construction of a radial basis function network using an evolutionary algorithm for grade estimation in a placer gold deposit;Samanta;Comput. Geosci.,2009

4. Ore grade prediction using a genetic algorithm and clustering based ensemble neural network model;Chatterjee;Math. Geosci.,2010

5. Hybrid self-adaptive learning based particle swarm optimization and support vector regression model for grade estimation;Li;Neurocomputing,2013

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