Civil Engineering Reference
In-Depth Information
Huang GB, Chen YQ, Babri H (2000) Classification ability of single hidden layer feedforward
neural networks. IEEE Trans neural networks 11(3):799-801
IDAE (2007) Reglamento de instalaciones térmicas en los edificios (in Spanish). Technical report,
Ministerio de Industria, Turismo y Comercio, Spain
ISO7730 (1994) Moderate thermal environments. Determination of the PMV and PPD indices and
specification of the conditions for thermal comfort. International Organisation for Standardisation,
Berlin
KimG, Kim JT (2010) Overview and new developments in optical daylighting systems for building
a healthy indoor environment. Building Environ 45:256-269
Kim W, Kim JT (2010) A formula of the position index of a glare source in the visual field. In: 3rd
International symposium on Sustainable Healthy Buildings, SHB2010, Seoul, Korea
Koçlar G, Köknel A, Tamer N (2004) Building envelope design with the objective to ensure thermal,
visual and acoustic comfort conditions. Building Environ 39(3):281-287
Kolokotsa D, Tsiavos D, Stavrakakis GS, Kalaitzakis K, Antonidakis E (2001) Advanced fuzzy logic
controllers design and evaluation for buildings' occupant thermal-visual comfort and indoor air
quality satisfaction. Energy Build 33:531-543
Liang J, Ruxu D (2005) Thermal comfort control based on neural network for HVAC application.
In: Proceedings of the IEEE conference on control applications. Canada, Toronto, pp 819-824
Liu W, Lian Z, Zhao B (2007) A neural network evaluation model for individual thermal comfort.
Energy Build 39:1115-1122
Luckiest M, Guth SK (1949) Brightnesses in visual field at Borderline between Comfort and Dis-
comfort (BCD). Illum Eng 44:650-670
Moré JJ (1978) The Levenberg-Marquardt algorithm: Implementation and theory. In: Numerical
Analysis. Lecture Notes in Mathematics, vol 630, Springer, Heidelberg, pp 105-116
Orosa JA (2009) Research on general thermal comfort models. Eur J Sci Res 27(2):217-227
Papadakis J (1966) Climates of the world and their agricultural potentialities, Buenos Aires, p 170
prEN 13779 (2007) Ventilation for non-residential buildings: Performance requirements for venti-
lation and room-conditioning systems. European Committee for Standardization, Brussels
prEN 15251 (2007) Indoor environmental input parameters for design and assessment of energy per-
formance of buildings addressing indoor air quality, thermal environment, lighting and acoustics.
European Committee for Standardization, Brussels
Reed RD, Marks RJ (1999) Neural smithing. Supervised learning in feedforward artificial neural
networks, MIT Press, Cambridge
Ruano AE, CrispimEM, Conceiçao EZE, LúcioMMJR (2006) Prediction of building's temperature
using neural networks models. Energy Build 38:682-694
Sherman M (1985) A simplified model of thermal comfort. Energy Build 8(1):37-50
Taleghani M, Tenpierik M, Kurvers S, Dobbelsteen A (2013) A review into thermal comfort in
buildings. Renew Sustain Energ Rev 26:201-215
TseWL, ChanWL (2008) A distributed sensor network for measurement of human thermal comfort
feelings. Sens Actuators A: Phys 144(2):394-402
Van Hoof J (2008) Forty years of Fanger's model of thermal comfort: comfort for all? Indoor Air
18(3):182-201
Vernon HM (1932) The globe thermometer. Proc Inst Heating Vent Eng 39:100-104
Wan JW, YangK, ZhangWJ, Zhang JL (2009) Anewmethod of determination of indoor temperature
and relative humidity with consideration of human thermal comfort. Building Environ 44(2):411-
417
