Subhasis Mohapatra

Work place: Department of Information Tehnology, Eastern Academy of Science and Technology, Bhubaneswar, Odisha-754001, India



Research Interests: Computational Science and Engineering, Computer systems and computational processes, Artificial Intelligence, Swarm Intelligence


Subhasis Mohapatra is presently working as Asst. Professor in Eastern Academy of Science and Technology, Bhubaneswar, Odisha-754001. He received his Master degree from Biju Pattniak University. His specialization is in Computational Intelligence, Time Series Prediction. He has supervised more than thirty B tech projects. His Computational Intelligence, Time Series Prediction.

Author Articles
Prediction of Rainfall in India using Artificial Neural Network (ANN) Models

By Santosh Kumar Nanda Debi Prasad Tripathy Simanta Kumar Nayak Subhasis Mohapatra

DOI:, Pub. Date: 8 Nov. 2013

In this paper, ARIMA(1,1,1) model and Artificial Neural Network (ANN) models like Multi Layer Perceptron (MLP), Functional-link Artificial Neural Network (FLANN) and Legendre Polynomial Equation ( LPE) were used to predict the time series data. MLP, FLANN and LPE gave very accurate results for complex time series model. All the Artificial Neural Network model results matched closely with the ARIMA(1,1,1) model with minimum Absolute Average Percentage Error(AAPE). Comparing the different ANN models for time series analysis, it was found that FLANN gives better prediction results as compared to ARIMA model with less Absolute Average Percentage Error (AAPE) for the measured rainfall data.

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