Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Fyfe, C. (2000) Artificial neural networks and information theory , University of Paisley

	G. Lopez and C. A. Gueymard (2007) Clear-sky solar luminous efficacy determination using artificial neural networks , Sol. Energy, vol. 81, no. 7, pp. 929–939

	Gavalda, X., J. Ferrer-Gener, G. A. Kopp, and F. Giralt (2011) Interpolation of Pressure Coefficients for Low- Rise Buildings of Different Plan Dimensions and Roof Slopes Using Artificial Neural Networks , Journal of Wind Engineering and Industrial Aerodynamics 99 (5): 658–64

	Goh, A.T.C. (1995) Back-propagation neural networks for modeling complex systems , Artificial Intelligence in Engineering 9, pp. 143-151

	Grekousis, G. (2019) Artificial neural networks and deep learning in urban geography: A systematic review and meta-analysis , Computers, Environment and Urban Systems, 74, 244-256. https://doi.org/10.1016/j.compenvurbsys.2018.10.008

	Hao Zheng, and Philip F Yuan (2021) A Generative Architectural and Urban Design Method through Artificial Neural Networks , Building andEnvironment 205 (Nov): 108178

	Hao Zheng, and Philip F. Yuan (2021) A generative architectural and urban design method through artificial neural networks , Buildingand Environment 205 (Nov): 108178.

	Harding, J and Derix, C (2010) Associative spatial networks in architectural design: Artificial cognition of spoace using neural networks with spectral graph theory , Design Computing and Cognition

	Harding, J., Derix, C. (2011) Associative spatial networks in architectural design: Artificial cognition of space using neural networks with spectral graph theory , Gero, J.S. (ed.) Design Computing and Cognition’10. pp. 305–323. Springer, Dordrecht

	Harding, John, and Christian Derix (2011) Associative Spatial Networks in Architectural Design: Artificial Cognition of Space Using Neural Networks with Spectral Graph Theory , Design Computing and Cognition ’10, edited by John Gero, 305–23. Cham: Springer

	Harding, John, and Christian Derix (2011) Associative Spatial Networks in Architectural Design: Artificial Cognition of Space Using Neural Networks with Spectral Graph Theory , Design Computing and Cognition ’10, edited by John S. Gero, 305–23

	Harding, John, and Christian Derix (2011) Associative Spatial Networks in Architectural Design: Artificial Cognition of Space Using Neural Networks with Spectral Graph Theory , Design Computing and Cognition ’10, edited by John S. Gero, 305–23

	Jain AK, Mao J and Mohiuddin KM (1996) Artificial neural networks: a tutorial , Computer (Long Beach Calif) 1996; 29:31–44

	Jain, A. K., J. Mao and K. M. Mohiuddin (1996) Artificial neural networks: a tutorial , Comput. IEEE March, p. 31-44

	Janjai S and Plaon P (2011) Estimation of sky luminance in the tropics using artificial neural networks: modeling and performance comparison with the CIE model , Appl Energy 2011; 88: 840–847

	Janssen, P., Frazer, J. and Tang, M.X. (2001) Evolutionary design systems and generative processes , P.J. Bentley and D.W. Corne (eds), Special Issue on Creative Evolutionary Systems, The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies

	Kalogirou, S. A. (1999) Application of Artificial Neural Networks in Energy Systems: A review , Energy Conversion and Management, 40 (10)(PII: S0196-8904(99)00012-6), pp. 1073-1087

	Kazanasmaz T, Günaydin M and Binol S (2009) Artificial neural networks to predict daylight illuminance in office buildings , Build Environ 2009; 44: 1751–1757

	Kazanasmaz, T, Günaydin, M and Binol, S (2009) Artificial neural networks to predict daylight illuminance in office buildings , Building and Environment, 44(8), pp. 1751-1757

	Kazanasmaz, T., Gunaydin, M. & Binol, S., (2009) Artificial Neural Networks to Predict Daylight Illuminance in Office Buildings , Building and Environment, pp. 1751-1757, Available at: https://doi.org/1.116/j.buildenv.28.11.12.

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