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Determination of Spatial Variability of Rock Depth of Chennai
Pijush samui, Viswanathan r, Jagan j, Pradeep u kurup
Published in IGI Global
Pages: 462 - 479
This study adopts four modeling techniques Ordinary Kriging(OK), Generalized Regression Neural Network (GRNN), Genetic Programming(GP) and Minimax Probability Machine Regression(MPMR) for prediction of rock depth(d) at Chennai(India). Latitude (Lx) and Longitude(Ly) have been used as inputs of the models. A semivariogram has been constructed for developing the OK model. The developed GP gives equation for prediction of d at any point in Chennai. A comparison of four modeling techniques has been carried out. The performance of MPMR is slightly better than the other models. The developed models give the spatial variability of rock depth at Chennai.
About the journal
JournalAdvances in Computational Intelligence and Robotics Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
PublisherIGI Global
Open Access0