Ranjeeta Bisoi

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it; #16,167 of 35,345 by trust here, #23,077 by citations
• Management Science and Operations Research — 47 citations into it; #4,719 of 11,946 by trust here, #6,024 by citations
• Control and Systems Engineering — 17 citations into it
• Economics and Econometrics — 15 citations into it; #13,936 of 23,481 by trust here, #16,755 by citations
• Computational Theory and Mathematics — 8 citations into it

Whom Ranjeeta Bisoi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jagdish Chandra Patra
2. Pei-Chann Chang
3. Chun-Teh Lee
4. Nibaldo Rodríguez
5. Yong Wang

Who trusts Ranjeeta Bisoi overall

1. Bing Yang
2. Omer Berat Sezer
3. Longbing Cao
4. Zi-Jia Gong
5. Wenqi Yang
6. M. Ugur Gudelek

Papers from Ranjeeta Bisoi's perspective

Ordered by how strongly the researchers Ranjeeta Bisoi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
2. New Chaotic PSO-Based Neural Network Predictive Control for Nonlinear Process
3. Chebyshev Functional Link Neural Network-based modeling and experimental verification for photovoltaic arrays
4. Application of Legendre Neural Network for Air Quality Prediction
5. Hybrid PSO-SA algorithm for training a Neural Network for Classification
6. A PSO based Functional Link Artificial Neural Network training algorithm for equalization of digital communication channels
7. Nonlinear dynamic system identification using Legendre neural network
8. Legendre Neural Network for nonlinear Active Noise Cancellation with nonlinear secondary path
9. Laguerre neural network-based smart sensors for wireless sensor networks
10. Computationally efficient FLANN-based intelligent stock price prediction system

Their papers

• Chebyshev polynomial functions based locally recurrent neuro-fuzzy information system for prediction of financial and energy market data (2016) — 10 citations
• Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach (2015) — 109 citations
• A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter (2014) — 125 citations
• Prediction interval forecasting of wind speed and wind power using modes decomposition based low rank multi-kernel ridge regression (2018) — 110 citations