Abstract
Earthquake, being one of the most hazardous geophysical events, has fascinated the scientists all over the globe to investigate an efficient predictive methodology. In India, earthquake is not a rare event. Purpose of the present paper is to view the earthquake as a complex system and then to estimate the magnitude of earthquake over Indian subcontinent using artificial neural network with backpropagation learning. The day, month, and year of occurrence of the earthquake, latitude of the place, and the longitude of the place are considered as the predictor variables. After considering various sizes of the hidden layer, it has been found that artificial neural network in the form of multilayer perceptron with two hidden nodes and sigmoid nonlinearity can be used to anticipate the magnitude of earthquake over Indian subcontinent. The paper concludes with an outline for future work.
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