Babak Jahani
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Renewable Energy, Sustainability and the Environment — 20 citations into it
- Environmental Engineering — 11 citations into it
- Global and Planetary Change — 7 citations into it
- Atmospheric Science — 5 citations into it
Whom Babak Jahani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ozgur Kisi
- Harish Garg
- J. Almorox
- Mohammad Ali Ghorbani
- Zekâi Sen
- Shahaboddin Shamshirband
- Roozbeh Moazenzadeh
- Ravinesh C. Deo
- Babak Mohammadi
- Kasra Mohammadi
Papers from Babak Jahani's perspective
Ordered by how strongly the researchers Babak Jahani trusts endorse each paper. Same corpus, a different order for every researcher.
- Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran (Theoretical and Applied Climatology)
- The potential of different ANN techniques in evapotranspiration modelling
- Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
- A hybrid PSO-GA algorithm for constrained optimization problems (Applied Mathematics and Computation)
- Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression (Irrigation science)
- Forecasting Evaporative Loss by Least-Square Support-Vector Regression and Evaluation with Genetic Programming, Gaussian Process, and Minimax Probability Machine Regression: Case Study of Brisbane…
- Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point
- Statistical learning theory
- Statistical Learning Theory
- Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand…