1 |
Dong-il Cho, M. Majors and J. Stori “Neural network control of automotive fuel-injection systems,” Control Systems, IEEE, vol. 14, pp. 31-36, 1994.
|
2 |
Mateja Trobec Lah, Borut Zupančič, Jože Peternelj, Aleš Krainer, “Daylight illuminance control with fuzzy logic,” Solar energy, vol. 80, pp. 307-321, 2006.
DOI
ScienceOn
|
3 |
SüreyyaKocabey, “Finding of Illuminance Levels In Indoor Atmosphere And of Finite Element Method,” Marmara University Institute of Pure and Applied Sciences, doctoral thesis, 2008.
|
4 |
Mustafa Şahin, “Analysis Of Illumınance Levels In Indoor Atmosphere By Using Artifıcial Neural Networks,” Marmara University Institute of Pure and Applied Sciences, postgraduate thesis, Istanbul, june 2010.
|
5 |
Serm Janjai and Piyanuch Plaon, “Estimation of sky luminance in the tropics using artificial neural networks: Modeling and performance comparison with the CIE model,” Applied Energy, vol. 88, pp. 840-847, 2011.
DOI
ScienceOn
|
6 |
Gabriel López and Christian A. Gueymard, “Clear-sky solar luminous efficacy determination using artificial neural Networks,” Solar Energy, vol. 81, pp. 929-939, 2007.
DOI
ScienceOn
|
7 |
Soteris A. Kalogirou, “Artificial Neural Networks in Renewable Energy Systems Applications: A Review, Renewable and Sustainable Energy Reviews,” Elsevier, vol. 5, pp. 373-401, 2000.
|
8 |
Juan Ramon Rabunal and Julian Dorrado, “Artificial Neural Networks Real Life Applications, Idea Group Publishing, 2006, pp. 203-369
|
9 |
Soteris A. Kalogirou, “Applications of artificial neural-networks for energy systems”, Applied Energy, vol. 67, pp. 17-35, 2000.
DOI
ScienceOn
|
10 |
Soteris A. Kalogirou, “Applications of artificial neural-networks for energy systems”, Applied Energy, vol. 67, pp. 17-35, 2000.
DOI
ScienceOn
|
11 |
Fawwaz Hammad and Bassam Abu-Hijleh, “The Energy Savings Potential of Using Dynamic External Louvers İn An Office Building,” Energy And Buildings, vol. 42, pp. 1888-1895, 2010
DOI
ScienceOn
|
12 |
Nagib T. Al-Ashwal and Ismail M. Budaiwi, “Energy Savings Due To Daylight And Artificial Lighting İntegration İn Office Buildings İn Hot Climate,” International Journal of Energy and Environment, vol. 2, pp. 999-1012, 2012.
|
13 |
Sherif Matta and S.M. Mahmud, “An intelligent light control system for power saving, 3th. Annual Conference on IEEE Industrial Electronics Society,” Glade, U.S.A, November 2010.
|
14 |
Francis Rubinstein and Abby Enscoe, “Saving energy with highly-controlled lighting in an open-plan office”, Illuminating Engineering Society of North America, vol. 7, pp. 21-36, 2010
|
15 |
Paola Sansoni, Franco Francini, D. Fontani, Luca Mercatelli and David Jafrancesco, “Indoor illuminetion by solar light collectors“, Lighting Research & Technology, vol.40, pp. 323-332, 2008
DOI
|
16 |
Anastasios I.Dounis, P.Tiropanis, Athanassios Argiriou and Argiris Diamantis, “Intelligent control system for reconciliation of the energy savings with comfort in buildings using soft computing techniques,” Energy and Buildings, vol. 43, pp. 66-74, 2011.
DOI
ScienceOn
|
17 |
Naveen Garg and M.C. Singh “Illuminance estimation and daylighting energy savings for Indian regions,” Renewable Energy, vol. 35, pp. 703-711, 2010.
DOI
ScienceOn
|
18 |
Marie-Claude Dubois and Åke Blomsterberg, “Energy saving potential and strategies for electric lighting in future North European, low energy office buildings,” Energy and Buildings, vol. 43, pp. 2572-2582, July 2011.
DOI
ScienceOn
|
19 |
Tuğçe Kazanasmaz, Murat Günaydın and Selcen Binol, “Artificial neural networks to predict daylight illuminance in office buildings,” Building and Environment, vol. 44, pp. 1751-1757, 2009.
DOI
ScienceOn
|
20 |
Ashok Akella, R.P. Saini and Mahendra Pal Sharma, “Social, economical and environmental impacts of renewable energy systems,” Proceedings of Renewable Energy, vol. 34, pp. 390-396, 2009.
DOI
ScienceOn
|
21 |
Magali Bodart and André De Herde, “Global energy savings in offices buildings by the use of daylighting,“ Energy and Buildings, vol. 34, pp. 421-429, june 2002.
DOI
ScienceOn
|
22 |
Claudia Cimpoiu, Vasile-Mircea Cristea, Anamaria Hosu, Mihaela Sandru and Liana Seserman, “Anti-oxidantactivity prediction and classification of some teas using artificialneural Networks”, Elsevier, Food Chemistry, vol. 127, pp. 1323-1328, 2011.
DOI
ScienceOn
|
23 |
Larry R. Medsker, “The future of artificial neural networks could be bright,” Computers/Control engineering, vol. 10, pp. 28-9, 1997.
|
24 |
Nicholas J. Cotton, Bogdan M. Wilamowski and G.ünhan Dundar, “Neural Network Implementation on an Inexpensive Eight Bit Microcontroller”, Intelligent Engineering Systems, pp. 109-114.
|
25 |
Ivan Villaverde and Manuel Granna, “Neuro-evolutionary mobile robot egomotion estimation with a 3D ToF camera,” Neural Computing and Applications, vol. 20, pp. 345-354, 2011.
DOI
|
26 |
Yuhong Li and Weihua Ma, “Applications of Artificial Neural Networks in Financial Economics: A Survey,” International Symposium Computational Intelligence and Design, vol. 1, pp. 211-214, 2010.
|