A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction

Mohamed Elhadi Rahmani, Abdelmalek Amine and Reda Mohamed Hamou
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Mohamed Elhadi Rahmani: GeCoDe Laboratory, Dr. Tahar Moulay University of Saida, Saida, Algeria
Abdelmalek Amine: GeCoDe Laboratory, Dr. Tahar Moulay University of Saida, Saida, Algeria
Reda Mohamed Hamou: GeCoDe Laboratory, Dr. Tahar Moulay University of Saida, Saida, Algeria

International Journal of Swarm Intelligence Research (IJSIR), 2017, vol. 8, issue 3, 1-18

Abstract: Bio-inspired algorithms are sort of implementation of natural solutions to solve hard problems – so called NP problems. A seismic hazard is the probability that an earthquake will occur in a given geographic area, within a given window of time, and with ground motion intensity exceeding a given threshold. Seismic hazards prediction is one of the fields where data mining plays an important role. This paper presents a new bio-inspired algorithm motivated by the echolocation behavior of bats for seismic hazard states prediction in coal mines based on previously recorded data. It is a distance calculation based approach, Results were very satisfactory in a manner that encourage us to continue working on this approach. The implementation of the algorithm touches three fields of studies, data discovery or so called data mining, bio inspired techniques, and seismic hazards predictions.

Date: 2017
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