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Refinado por: Nome da Publicação: International Journal Of Advanced Manufacturing Technology remover assunto: Technology remover Neural Networks remover
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1
Prediction of bending force in the hot strip rolling process using artificial neural network and genetic algorithm (ANN-GA)
Prediction of bending force in the hot strip rolling process using artificial neural network and genetic algorithm (ANN-GA)
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Prediction of bending force in the hot strip rolling process using artificial neural network and genetic algorithm (ANN-GA)

Wang, Zhen-Hua ; Gong, Dian-Yao ; Li, Xu ; Li, Guang-Tao ; Zhang, Dian-Hua

International journal of advanced manufacturing technology, 2017-12, Vol.93 (9-12), p.3325-3338 [Periódico revisado por pares]

London: Springer London

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2
Parameter optimization of friction stir welding of cryorolled AA2219 alloy using artificial neural network modeling with genetic algorithm
Parameter optimization of friction stir welding of cryorolled AA2219 alloy using artificial neural network modeling with genetic algorithm
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Parameter optimization of friction stir welding of cryorolled AA2219 alloy using artificial neural network modeling with genetic algorithm

Kamal Babu, K. ; Panneerselvam, K. ; Sathiya, P. ; Noorul Haq, A. ; Sundarrajan, S. ; Mastanaiah, P. ; Srinivasa Murthy, C. V.

International journal of advanced manufacturing technology, 2018-02, Vol.94 (9-12), p.3117-3129 [Periódico revisado por pares]

London: Springer London

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3
Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF
Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF
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Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF

Najm, Sherwan Mohammed ; Paniti, Imre

International journal of advanced manufacturing technology, 2021-06, Vol.114 (9-10), p.2591-2615 [Periódico revisado por pares]

London: Springer London

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4
The use of support vector machine, neural network, and regression analysis to predict and optimize surface roughness and cutting forces in milling
The use of support vector machine, neural network, and regression analysis to predict and optimize surface roughness and cutting forces in milling
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The use of support vector machine, neural network, and regression analysis to predict and optimize surface roughness and cutting forces in milling

Yeganefar, Ali ; Niknam, Seyed Ali ; Asadi, Reza

International journal of advanced manufacturing technology, 2019-11, Vol.105 (1-4), p.951-965 [Periódico revisado por pares]

London: Springer London

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5
Investigation, modeling, and optimization of cutting parameters in turning of gray cast iron using coated and uncoated silicon nitride ceramic tools. Based on ANN, RSM, and GA optimization
Investigation, modeling, and optimization of cutting parameters in turning of gray cast iron using coated and uncoated silicon nitride ceramic tools. Based on ANN, RSM, and GA optimization
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Investigation, modeling, and optimization of cutting parameters in turning of gray cast iron using coated and uncoated silicon nitride ceramic tools. Based on ANN, RSM, and GA optimization

Laouissi, Aissa ; Yallese, M. A. ; Belbah, A. ; Belhadi, S. ; Haddad, A.

International journal of advanced manufacturing technology, 2019-03, Vol.101 (1-4), p.523-548 [Periódico revisado por pares]

London: Springer London

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6
Investigation of the performance of the MQL, dry, and wet turning by response surface methodology (RSM) and artificial neural network (ANN)
Investigation of the performance of the MQL, dry, and wet turning by response surface methodology (RSM) and artificial neural network (ANN)
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Investigation of the performance of the MQL, dry, and wet turning by response surface methodology (RSM) and artificial neural network (ANN)

Nouioua, Mourad ; Yallese, Mohamed Athmane ; Khettabi, Riad ; Belhadi, Salim ; Bouhalais, Mohamed Lamine ; Girardin, François

International journal of advanced manufacturing technology, 2017-11, Vol.93 (5-8), p.2485-2504 [Periódico revisado por pares]

London: Springer London

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7
Mechanical response assessment of antibacterial PA12/TiO2 3D printed parts: parameters optimization through artificial neural networks modeling
Mechanical response assessment of antibacterial PA12/TiO2 3D printed parts: parameters optimization through artificial neural networks modeling
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Mechanical response assessment of antibacterial PA12/TiO2 3D printed parts: parameters optimization through artificial neural networks modeling

Vidakis, Nectarios ; Petousis, Markos ; Mountakis, Nikolaos ; Maravelakis, Emmanuel ; Zaoutsos, Stefanos ; Kechagias, John D.

International journal of advanced manufacturing technology, 2022-07, Vol.121 (1-2), p.785-803 [Periódico revisado por pares]

London: Springer London

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8
Optimization of cutting conditions using artificial neural networks and the Edgeworth-Pareto method for CNC face-milling operations on high-strength grade-H steel
Optimization of cutting conditions using artificial neural networks and the Edgeworth-Pareto method for CNC face-milling operations on high-strength grade-H steel
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Optimization of cutting conditions using artificial neural networks and the Edgeworth-Pareto method for CNC face-milling operations on high-strength grade-H steel

Abbas, Adel Taha ; Pimenov, Danil Yurievich ; Erdakov, Ivan Nikolaevich ; Mikolajczyk, Tadeusz ; Soliman, Mahmoud Sayed ; El Rayes, Magdy Mostafa

International journal of advanced manufacturing technology, 2019-12, Vol.105 (5-6), p.2151-2165 [Periódico revisado por pares]

London: Springer London

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9
Prediction of surface roughness in milling process using vibration signal analysis and artificial neural network
Prediction of surface roughness in milling process using vibration signal analysis and artificial neural network
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Prediction of surface roughness in milling process using vibration signal analysis and artificial neural network

Wu, T. Y. ; Lei, K. W.

International journal of advanced manufacturing technology, 2019-05, Vol.102 (1-4), p.305-314 [Periódico revisado por pares]

London: Springer London

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10
Predictive modeling of porosity in AlSi10Mg alloy fabricated by laser powder bed fusion: A comparative study with RSM, ANN, FL, and ANFIS
Predictive modeling of porosity in AlSi10Mg alloy fabricated by laser powder bed fusion: A comparative study with RSM, ANN, FL, and ANFIS
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Predictive modeling of porosity in AlSi10Mg alloy fabricated by laser powder bed fusion: A comparative study with RSM, ANN, FL, and ANFIS

Babakan, Ahmad Memaran ; Davoodi, Mohammad ; Shafaie, Majid ; Sarparast, Mohsen ; Zhang, Hongyan

International journal of advanced manufacturing technology, 2023-11, Vol.129 (3-4), p.1097-1108 [Periódico revisado por pares]

London: Springer London

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