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A Novel Assisted Artificial Neural Network Modeling Approach for Improved Accuracy Using Small Datasets: Application in Residual Strength Evaluation of Panels with Multiple Site Damage Cracks
A Novel Assisted Artificial Neural Network Modeling Approach for Improved Accuracy Using Small Datasets: Application in Residual Strength Evaluation of Panels with Multiple Site Damage Cracks
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A Novel Assisted Artificial Neural Network Modeling Approach for Improved Accuracy Using Small Datasets: Application in Residual Strength Evaluation of Panels with Multiple Site Damage Cracks

Hijazi, Ala ; Al-Dahidi, Sameer ; Altarazi, Safwan

Applied sciences, 2020-11, Vol.10 (22), p.8255 [Periódico revisado por pares]

Basel: MDPI AG

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2
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, , Vol.9 (24), p.5534 [Periódico revisado por pares]

Basel: MDPI AG

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3
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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4
Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models
Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models
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Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models

Chen, Hui ; Asteris, Panagiotis G. ; Jahed Armaghani, Danial ; Gordan, Behrouz ; Pham, Binh Thai

Applied sciences, 2019, Vol.9 (6), p.1042 [Periódico revisado por pares]

Basel: MDPI AG

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5
Benchmarking Artificial Neural Network Architectures for High-Performance Spiking Neural Networks
Benchmarking Artificial Neural Network Architectures for High-Performance Spiking Neural Networks
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Benchmarking Artificial Neural Network Architectures for High-Performance Spiking Neural Networks

Islam, Riadul ; Majurski, Patrick ; Kwon, Jun ; Sharma, Anurag ; Tummala, Sri Ranga Sai Krishna

Sensors (Basel, Switzerland), 2024-02, Vol.24 (4), p.1329 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage
A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage
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A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage

Koteleva, Natalia ; Korolev, Nikolay ; Zhukovskiy, Yuriy ; Baranov, Georgii

Sensors (Basel, Switzerland), 2021-11, Vol.21 (23), p.7900 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
Prediction Analysis of Surface Roughness of Aluminum Al6061 in End Milling CNC Machine Using Soft Computing Techniques
Prediction Analysis of Surface Roughness of Aluminum Al6061 in End Milling CNC Machine Using Soft Computing Techniques
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Prediction Analysis of Surface Roughness of Aluminum Al6061 in End Milling CNC Machine Using Soft Computing Techniques

Balonji, Serge ; Tartibu, Lagouge K. ; Okokpujie, Imhade P.

Applied sciences, 2023-04, Vol.13 (7), p.4147 [Periódico revisado por pares]

Basel: MDPI AG

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8
Bed expansion of binary mixtures of irregular particles in solid–liquid fluidization: Experimental, empirical correlation, and GA‐ANN modelling
Bed expansion of binary mixtures of irregular particles in solid–liquid fluidization: Experimental, empirical correlation, and GA‐ANN modelling
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Bed expansion of binary mixtures of irregular particles in solid–liquid fluidization: Experimental, empirical correlation, and GA‐ANN modelling

Let, Sudipta ; Bar, Nirjhar ; Basu, Ranjan Kumar ; Das, Sudip Kumar

Canadian journal of chemical engineering, 2023-03, Vol.101 (3), p.1713-1721 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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9
Artificial Neural Networks Based Optimization Techniques: A Review
Artificial Neural Networks Based Optimization Techniques: A Review
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Artificial Neural Networks Based Optimization Techniques: A Review

Abdolrasol, Maher G. M. ; Hussain, S. M. Suhail ; Ustun, Taha Selim ; Sarker, Mahidur R. ; Hannan, Mahammad A. ; Mohamed, Ramizi ; Ali, Jamal Abd ; Mekhilef, Saad ; Milad, Abdalrhman

Electronics (Basel), 2021-11, Vol.10 (21), p.2689 [Periódico revisado por pares]

Basel: MDPI AG

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10
Surface Roughness Analysis and Prediction with an Artificial Neural Network Model for Dry Milling of Co–Cr Biomedical Alloys
Surface Roughness Analysis and Prediction with an Artificial Neural Network Model for Dry Milling of Co–Cr Biomedical Alloys
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Surface Roughness Analysis and Prediction with an Artificial Neural Network Model for Dry Milling of Co–Cr Biomedical Alloys

Dijmărescu, Manuela-Roxana ; Abaza, Bogdan Felician ; Voiculescu, Ionelia ; Dijmărescu, Maria-Cristina ; Ciocan, Ion

Materials, 2021-10, Vol.14 (21), p.6361 [Periódico revisado por pares]

Basel: MDPI AG

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