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Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system
Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system
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Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system

Afram, Abdul ; Janabi-Sharifi, Farrokh ; Fung, Alan S. ; Raahemifar, Kaamran

Energy and buildings, 2017-04, Vol.141, p.96-113 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete
Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete
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Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

Shariati, Mahdi ; Mafipour, Mohammad Saeed ; Mehrabi, Peyman ; Bahadori, Alireza ; Zandi, Yousef ; Salih, Musab N A ; Nguyen, Hoang ; Dou, Jie ; Song, Xuan ; Poi-Ngian, Shek

Applied sciences, 2019-12, Vol.9 (24), p.5534 [Periódico revisado por pares]

Basel: MDPI AG

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Developing the artificial neural network–evolutionary algorithms hybrid models (ANN–EA) to predict the daily evaporation from dam reservoirs
Developing the artificial neural network–evolutionary algorithms hybrid models (ANN–EA) to predict the daily evaporation from dam reservoirs
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Developing the artificial neural network–evolutionary algorithms hybrid models (ANN–EA) to predict the daily evaporation from dam reservoirs

Arya Azar, Naser ; Kardan, Nazila ; Ghordoyee Milan, Sami

Engineering with computers, 2023-04, Vol.39 (2), p.1375-1393 [Periódico revisado por pares]

London: Springer London

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Development of Two Novel Hybrid Prediction Models Estimating Ultimate Bearing Capacity of the Shallow Circular Footing
Development of Two Novel Hybrid Prediction Models Estimating Ultimate Bearing Capacity of the Shallow Circular Footing
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Development of Two Novel Hybrid Prediction Models Estimating Ultimate Bearing Capacity of the Shallow Circular Footing

Moayedi, Hossein ; Kalantar, Bahareh ; Dounis, Anastasios ; Tien Bui, Dieu ; Foong, Loke Kok

Applied sciences, 2019-11, Vol.9 (21), p.4594 [Periódico revisado por pares]

Basel: MDPI AG

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5
Optimizing ANN models with PSO for predicting short building seismic response
Optimizing ANN models with PSO for predicting short building seismic response
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Optimizing ANN models with PSO for predicting short building seismic response

Nguyen, Hoang ; Moayedi, Hossein ; Foong, Loke Kok ; Al Najjar, Husam Abdulrasool H. ; Jusoh, Wan Amizah Wan ; Rashid, Ahmad Safuan A. ; Jamali, Jamaloddin

Engineering with computers, 2020-07, Vol.36 (3), p.823-837 [Periódico revisado por pares]

London: Springer London

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Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil
Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil
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Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil

Moayedi, Hossein ; Jahed Armaghani, Danial

Engineering with computers, 2018-04, Vol.34 (2), p.347-356 [Periódico revisado por pares]

London: Springer London

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7
Progress of artificial neural networks applications in hydrogen production
Progress of artificial neural networks applications in hydrogen production
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Progress of artificial neural networks applications in hydrogen production

Abdelkareem, Mohammad A. ; Soudan, Bassel ; Mahmoud, Mohamed S. ; Sayed, Enas T. ; AlMallahi, Maryam N. ; Inayat, Abrar ; Radi, Muaz Al ; Olabi, Abdul G.

Chemical engineering research & design, 2022-06, Vol.182, p.66-86 [Periódico revisado por pares]

Rugby: Elsevier Ltd

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8
A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration
A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration
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A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration

Taheri, Khalil ; Hasanipanah, Mahdi ; Golzar, Saeid Bagheri ; Majid, Muhd Zaimi Abd

Engineering with computers, 2017-07, Vol.33 (3), p.689-700 [Periódico revisado por pares]

London: Springer London

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9
Prediction of ultimate bearing capacity through various novel evolutionary and neural network models
Prediction of ultimate bearing capacity through various novel evolutionary and neural network models
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Prediction of ultimate bearing capacity through various novel evolutionary and neural network models

Moayedi, Hossein ; Moatamediyan, Arash ; Nguyen, Hoang ; Bui, Xuan-Nam ; Bui, Dieu Tien ; Rashid, Ahmad Safuan A.

Engineering with computers, 2020-04, Vol.36 (2), p.671-687 [Periódico revisado por pares]

London: Springer London

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10
Multi‐objective optimization of annual electricity consumption and annual electricity production of a residential building using photovoltaic shadings
Multi‐objective optimization of annual electricity consumption and annual electricity production of a residential building using photovoltaic shadings
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Multi‐objective optimization of annual electricity consumption and annual electricity production of a residential building using photovoltaic shadings

Baghoolizadeh, Mohammadreza ; Nadooshan, Afshin Ahmadi ; Dehkordi, Seyed Amir Hossein Hashemi ; Rostamzadeh‐Renani, Mohammad ; Rostamzadeh‐Renani, Reza ; Afrand, Masoud

International journal of energy research, 2022-12, Vol.46 (15), p.21172-21216 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Inc

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