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Numerical Heat Transfer, Part B: Fundamentals
An International Journal of Computation and Methodology
Volume 51, 2007 - Issue 4
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Original Articles

Solving the Temperature Distribution Field in Nonlinear Heat Conduction Problems Using the Hopfield Neural Network

S. Deng Department of Weapon System Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan, Taiwan, Republic of ChinaCorrespondence[email protected]
&
Y. Hwang Department of Weapon System Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan, Taiwan, Republic of China
Pages 375-389 | Received 13 Mar 2006, Accepted 30 Jun 2006, Published online: 27 Sep 2010

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Fatih Selimefendigil & HakanF. Öztop. (2015) Numerical Study and POD-Based Prediction of Natural Convection in a Ferrofluids–Filled Triangular Cavity with Generalized Neural Networks. Numerical Heat Transfer, Part A: Applications 67:10, pages 1136-1161.
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Fatih Selimefendigil & HakanF. Öztop. (2014) Estimation of the Mixed Convection Heat Transfer of a Rotating Cylinder in a Vented Cavity Subjected to Nanofluid by Using Generalized Neural Networks. Numerical Heat Transfer, Part A: Applications 65:2, pages 165-185.
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Tien-Mo Shih, Martinus Arie & Derrick Ko. (2011) Literature Survey of Numerical Heat Transfer (2000–2009): Part II. Numerical Heat Transfer, Part A: Applications 60:11-12, pages 883-1096.
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Articles from other publishers (9)

Van-Vuong Lai, Igor Paszkiewicz, Jean-François Brunel & Philippe Dufrénoy. (2022) Squeal occurrence related to the tracking of the bearing surfaces on a pin-on-disc system. Mechanical Systems and Signal Processing 165, pages 108364.
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Kun Li, Shiquan Shan, Qi Zhang, Xichuan Cai & Zhijun Zhou. (2022) A computational method to solve for the heat conduction temperature field based on data-driven approach. Thermal Science 26:1 Part A, pages 233-246.
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Abdelkader Filali, Lyes Khezzar, Hamza Semmari & Omar Matar. (2021) Application of artificial neural network for mixed convection in a square lid-driven cavity with double vertical or horizontal oriented rectangular blocks. International Communications in Heat and Mass Transfer 129, pages 105644.
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Mattia Bergagio, Haipeng Li & Henryk Anglart. (2018) An iterative finite-element algorithm for solving two-dimensional nonlinear inverse heat conduction problems. International Journal of Heat and Mass Transfer 126, pages 281-292.
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Fatih Selimefendigil. (2016) Modeling and Prediction of Effects of Time-Periodic Heating Zone on Mixed Convection in a Lid-Driven Cavity Filled with Fluid-Saturated Porous Media. Arabian Journal for Science and Engineering 41:11, pages 4701-4718.
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M. Hojjat, S.Gh. Etemad, R. Bagheri & J. Thibault. (2011) Thermal conductivity of non-Newtonian nanofluids: Experimental data and modeling using neural network. International Journal of Heat and Mass Transfer 54:5-6, pages 1017-1023.
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Leandro dos Santos Coelho, Roberto Zanetti Freire, Gerson Henrique dos Santos & Nathan Mendes. (2009) Identification of temperature and moisture content fields using a combined neural network and clustering method approach. International Communications in Heat and Mass Transfer 36:4, pages 304-313.
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H. Chin, Y. Hwang & S. Deng. (2009) Heat Flux Estimation in Nonlinear Materials Using Kalman Filter-Enhanced Neural Network. Journal of Thermophysics and Heat Transfer 23:1, pages 41-50.
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Refet Karadağ & Ömer Akgöbek. (2008) The prediction of convective heat transfer in floor-heating systems by artificial neural networks. International Communications in Heat and Mass Transfer 35:3, pages 312-325.
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