Journal
ENVIRONMENTAL EARTH SCIENCES
Volume 73, Issue 8, Pages 4265-4272Publisher
SPRINGER
DOI: 10.1007/s12665-014-3711-x
Keywords
Rock depth; Spatial variability; Adaptive neuro-fuzzy inference system; Multivariate adaptive regression spline
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This article adopts adaptive neuro-fuzzy inference system (ANFIS) and multi adaptive regression spline (MARS) for prediction of spatial variability of reduced level of rock depth (d) in Bangalore. The database consists of 652 d values spread over a 220 km(2) area of Bangalore. In two-dimensional analysis, the function , where x (1), and x (2) are the latitude and longitude of a point corresponding to d value, is to be approximated with which d value at any half space point in Bangalore can be determined. The input variables of ANFIS and MARS are x (1) and x (2). Map of d has been also produced by developed ANFIS and MARS models. The comparison between the MARS and ANFIS models demonstrates that the MARS model is superior to the ANFIS model.
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