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Particle Swarm Optimization Algorithm for Neuro-Fuzzy Prospectivity Analysis Using Continuously Weighted Spatial Exploration Data

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Abstract

Classification of spatial exploration data for exploration targeting using neuro-fuzzy models means that the many spatial values have to be simplified and assigned to a few classes. The simplification of complex geological information, which illustrates a high degree of variability, results in overly simplistic models based on the presumption of homogeneous earth. However, such an assumption is not valid. In this paper, we illustrate the superiority of using continuously weighted spatial evidence values compared to discretely weighted evidence data, and how continuously weighted spatial evidence values can increase the efficiency of neuro-fuzzy exploration targeting models. The results of this study demonstrate that neuro-fuzzy targeting model generated with continuously weighted spatial evidence values is superior to that of the neuro-fuzzy model generated with discretely weighted exploration evidence data.

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Modified from Alatas et al. (2009)

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Acknowledgments

The authors thank Geological Survey of Iran (GSI) for supplying necessary data to do this research work. We thank Prof. Emmanuel John M. Carranza and three anonymous reviewers for their comments and suggestions, which helped us to improve the quality of this paper.

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Authors and Affiliations

  1. Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, 36199-95161, Iran

    Bijan Roshanravan & Hamid Aghajani

  2. Faculty of Engineering, Malayer University, Malayer, Iran

    Mahyar Yousefi

  3. Corporate Geoscience Group, PO Box 5128, Rockingham Beach, WA, 6969, Australia

    Oliver Kreuzer

  4. Economic Geology Research Centre (EGRU), School of Earth and Environmental Science, James Cook University, Townsville, QLD, 4811, Australia

    Oliver Kreuzer

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  1. Bijan Roshanravan
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  2. Hamid Aghajani
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  4. Oliver Kreuzer
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Correspondence to Hamid Aghajani.

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Roshanravan, B., Aghajani, H., Yousefi, M. et al. Particle Swarm Optimization Algorithm for Neuro-Fuzzy Prospectivity Analysis Using Continuously Weighted Spatial Exploration Data. Nat Resour Res 28, 309–325 (2019). https://doi.org/10.1007/s11053-018-9385-4

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