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Modification of landslide susceptibility mapping using optimized PSO-ANN technique
Modification of landslide susceptibility mapping using optimized PSO-ANN technique
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Modification of landslide susceptibility mapping using optimized PSO-ANN technique

Moayedi, Hossein ; Mehrabi, Mohammad ; Mosallanezhad, Mansour ; Rashid, Ahmad Safuan A. ; Pradhan, Biswajeet

Engineering with computers, 2019-07, Vol.35 (3), p.967-984 [Periódico revisado por pares]

London: Springer London

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2
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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3
Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system
Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system
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Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system

Zhou, Jian ; Koopialipoor, Mohammadreza ; Li, Enming ; Armaghani, Danial Jahed

Bulletin of engineering geology and the environment, 2020-10, Vol.79 (8), p.4265-4279 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
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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5
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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6
Rock tensile strength prediction using empirical and soft computing approaches
Rock tensile strength prediction using empirical and soft computing approaches
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Rock tensile strength prediction using empirical and soft computing approaches

Mahdiyar, Amir ; Armaghani, Danial Jahed ; Marto, Aminaton ; Nilashi, Mehrbakhsh ; Ismail, Syuhaida

Bulletin of engineering geology and the environment, 2019-09, Vol.78 (6), p.4519-4531 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
Airblast prediction through a hybrid genetic algorithm-ANN model
Airblast prediction through a hybrid genetic algorithm-ANN model
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Airblast prediction through a hybrid genetic algorithm-ANN model

Jahed Armaghani, Danial ; Hasanipanah, Mahdi ; Mahdiyar, Amir ; Abd Majid, Muhd Zaimi ; Bakhshandeh Amnieh, Hassan ; Tahir, Mahmood M. D.

Neural computing & applications, 2018-05, Vol.29 (9), p.619-629 [Periódico revisado por pares]

London: Springer London

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8
An optimized ANN model based on genetic algorithm for predicting ripping production
An optimized ANN model based on genetic algorithm for predicting ripping production
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An optimized ANN model based on genetic algorithm for predicting ripping production

Mohamad, Edy Tonnizam ; Faradonbeh, Roohollah Shirani ; Armaghani, Danial Jahed ; Monjezi, Masoud ; Majid, Muhd Zaimi Abd

Neural computing & applications, 2017-12, Vol.28 (Suppl 1), p.393-406 [Periódico revisado por pares]

London: Springer London

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9
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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10
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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