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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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	Nolfi, Stefano and Domenico Parisi (2003) Evolution of Artificial Neural Networks , Handbook of Brain Theory and Neural Networks, 2nd Edition, edited by Michael A. Arbib, 418-421. Cambridge, Massachusetts: MIT Press

	Walczak, S. & Cerpa, N. (2003) Artificial Neural Networks , Encyclopedia of Physical Science and Technology (pp. 631–645). https://doi.org/10.1016/B0-12-227410-5/00837-1

	Huang, G. B. (2003) Learning capability and storage capacity of two-hidden-layer feedforward networks , IEEE transactions on neural networks, 14(2), 274-281

	Lee, S., J. H. Ryu and M. J. Lee (2003) Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea , Environmental Geology, Vol. 44, p. 820-833

	Bank, M., Sandor, V., Kraft, R., Antholzer, S., Berger, M., Fabini, T., Kovacs, B., Hell, T., Rutzinger, S. and Schinegger, K., (2022) Hybrid immediacy: designing with artificial neural networks through physical concept modelling , Design Modelling Symposium Berlin (pp. 13-23). Cham: Springer International Publishing

	Basheer, I and Hajmeer, M (2000) Artificial neural networks: fundamentals, computing, design, and application , Journal of Microbiological Methods, 43(1), pp. 3-31

	Basheer, I. A. and Hajmeer, M. (2000) Artificial neural networks: fundamentals, computing, design, and application , Journal of microbiological methods, 43(1), pp. 3-31

	Basheer, I. A. and M. Hajmeer (2000) Artificial neural networks: fundamentals, computing, design, and application , Journal of Microbiological Methods, Vol. 43, p. 3-31

	Black, W. (1995) Spatial interection modeling using artificial neural networks , Journal of Transport Geography, 3(3), p. 159-166

	Bocanegra, C.W.R. (2002) Alternative procedures to make more effective the application of artificial neural networks in transportation planning , M.S. Thesis, University of São Paulo, School of Engineering of São Carlos, São Carlos, SP, Brazil

	Boussabaine, A. H. (1996) The use of artificial neural networks in construction management: a review , Constr. Manage. Econ. 14 (5), 427–436

	Buscema M. (ed.) (1998) Artificial Neural Networks and Complex Social Systems. I Theory, II Models, III Applications , Special Issue of Substance Use and Misuse, 33

	Chegari, B., Tabaa, M., Simeu, E., Moutaouakkil, F., Medromi, H., (2021) Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms , Energyand Buildings, 239, 110839 https://doi.org/10.1016/j.enbuild.2021.110839

	Civco, D L. (1993) Artificial Neural networks for Land-cover Classification and Mapping , International Journal of Geographical Information Systems 7, pp.173-186

	Diappi L., M. Buscema and M. Ottanà (1998) A neural network investigation on the crucial Assets of urban Sustainability , Substance Use and Misuse Special Issue on Artificial Neural Networks and Social Systems, 33, p. 793-817

	Ekici, B B and Aksoy, U T (2009) Prediction of building energy consumption by using artificial neural networks , Advances in Engineering Software, 40(5), pp. 356-362

	Fyfe C. Fyfe, C (2005) Artificial neural networks , In Do smart adaptive systems exist? Berlin, Heidelberg.: Springer, 2005, pp. 57–79.

	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

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