509 citations · 549 across the 4 of their papers we have counts for
5 papers
PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting
Ratnadip Adhikari, R. K. Agrawal, Laxmi Kant
Seasonality is a distinctive characteristic which is often observed in many practical time series. Artificial Neural Networks (ANNs) are a class of promising models for efficiently…
An Introductory Study on Time Series Modeling and Forecasting
Ratnadip Adhikari, R. K. Agrawal
Time series modeling and forecasting has fundamental importance to various practical domains. Thus a lot of active research works is going on in this subject during several years.…
Combining Multiple Time Series Models Through A Robust Weighted Mechanism
Ratnadip Adhikari, R. K. Agrawal
Improvement of time series forecasting accuracy through combining multiple models is an important as well as a dynamic area of research. As a result, various forecasts combination…
A Treatise on Stability of Autonomous and Non-autonomous Systems: Theory and Illustrative Practical Applications
Ratnadip Adhikari
Stability is a very important property of any physical system. By a stable system, we broadly mean that small disturbances either in the system inputs or in the initial conditions…
A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting
Ratnadip Adhikari, R. K. Agrawal
Enhancing the robustness and accuracy of time series forecasting models is an active area of research. Recently, Artificial Neural Networks (ANNs) have found extensive applications…