Hossein Bonakdari
Environmental Engineering · 2014–2019
A researcher in the Science corpus: 18 papers; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 53 citations into it; #3,409 of 5,479 by trust here, #1,912 by citations
- Artificial Intelligence — 37 citations into it
- Water Science and Technology — 32 citations into it
- Global and Planetary Change — 30 citations into it
- Electrical and Electronic Engineering — 27 citations into it
- Civil and Structural Engineering — 12 citations into it; #3,336 of 6,160 by trust here, #2,398 by citations
- Management Science and Operations Research — 9 citations into it
- Ecology — 8 citations into it; #7,644 of 10,717 by trust here, #8,179 by citations
Whom Hossein Bonakdari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ozgur Kisi
- Mohammad Valipour
- Isa Ebtehaj
- Vahid Nourani
- G. Zhang
- Durdu Ömer Faruk
- R. Eberhart
- Kwok-Wing Chau
- Martin T. Hagan
- David E. Goldberg
Who trusts Hossein Bonakdari overall
Papers from Hossein Bonakdari's perspective
Ordered by how strongly the researchers Hossein Bonakdari trusts endorse each paper. Same corpus, a different order for every researcher.
- Support-Vector Networks
- Genetic Algorithms in Search Optimization and Machine Learning
- Neural Networks: A Comprehensive Foundation
- Time series analysis, forecasting and control
- Modeling of the daily rainfall-runoff relationship with artificial neural network
- Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir
- Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
- Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
- Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition (IEEE Congress on Evolutionary Computation)
- Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques
Their papers
- Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model (2017) — 76 citations
- Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel (2019) — 84 citations
- Prediction of wave runup on beaches using Gene-Expression Programming and empirical relationships (2019) — 63 citations
- New insights into soil temperature time series modeling: linear or nonlinear? (2019) — 65 citations
- A reliable linear stochastic daily soil temperature forecast model (2019) — 80 citations
- An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition (2018) — 103 citations
- Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length (2018) — 80 citations
- Design of a Hybrid ANFIS–PSO Model to Estimate Sediment Transport in Open Channels (2018) — 46 citations
- Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model (2017) — 241 citations
- Sensitivity analysis of the factors affecting the discharge capacity of side weirs in trapezoidal channels using extreme learning machines (2017) — 62 citations
- Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point (2017) — 143 citations
- A combined support vector machine-wavelet transform model for prediction of sediment transport in sewer (2016) — 55 citations
- Assessment of evolutionary algorithms in predicting non-deposition sediment transport (2016) — 54 citations
- Bed load sediment transport estimation in a clean pipe using multilayer perceptron with different training algorithms (2016) — 55 citations
- Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs (2016) — 81 citations
- Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices (2015) — 87 citations
- Performance evaluation of two different neural network and particle swarm optimization methods for prediction of discharge capacity of modified triangular side weirs (2014) — 56 citations
- Comparison between Shannon and Tsallis entropies for prediction of shear stress distribution in open channels (2014) — 59 citations