Simanta Kumar Nayak

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



Research Interests: Computer systems and computational processes, Neural Networks, Network Architecture, Logic Calculi, Logic Circuit Theory


Prof. Simanata Kumar Nayak is presently working as Professor in Eastern Academy of Science and Technology, Bhubaneswar, Odisha-754001. He is continuing his PhD at Utkal, University in Computational Drug Design. He received his Master degree from N.I.T Rourkela. His specialization is in Computer Graphics, Computer Networking, Artificial Intelligence, and Computational Intelligence. He has several publications in International journals and reputed International Conference. He has supervised more than five PG Thesis and handling B tech projects also. His research interests are computational drug design, neural network and fuzzy logic.

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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