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SIMULATING AND FORECASTING THE ARIDITY INDEX CASE STUDY CENTRAL AND SOUTH DOBRUJA REGION (ROMANIA)
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Ajith Abraham, Bernard de Baets and all, 2006: Applied Soft Computing Techniques: The Challenge of Complexity. Springer-Verlag Berlin Heidelberg. GeoConference on Energy and Clean Technologies
Akira, Hirose, 2003: Complex-valued neural networks: theories and applications. World Science Publishing Co Pte. Ltd, Singapore.
Alyuda Neurointelligence - Http://Www.Alyuda.Com/Neural-Networks- Software.Htm
Anupam, Shukla, Ritu, Tiwari, Rahul, Kala, 2010: Towards Hybrid and Adaptive Computing: A Perspective, Studies in Computational Intelligence, Springer-Verlag Berlin Heidelberg, page 36.
La Meteorologie, 449 - 458.
De, Xiaohui, Liu, Paul, R., Cohen, Paul, Cohen, 1997: Advances in Intelligent Data Analysis, Reasoning about Data . Second International Symposium, IDA-97, London, UK, August, 1997, Proceedings, page 58.
Do, Ó A., 2005: Regional Drought Analysis and Mitigation Using the SPI. CD - Rom. ICID 21st European Regional Conference, Topic 4. 15 -19 May 2005 - Frankfurt (Oder) and Slubice - Germany and Poland.
Dumitru, Iulian, Năstac, Reţele, 2000 : Neuronale Artificiale. Procesarea avansată a datelor (Artificial Neural Network. Advance Data Processing.). Printech Pub. , Bucharest, 2000.
Fahlman, S. E., 1988: Faster-Learning Variations on Back-Propagation: An Empirical Study. Proceedings of 1988 Connectionist Models Summer School.
Ilie, C., Margareta, Ilie, Ana-Maria, Topalu, Lucia, Melnic, 2012 : The Simulation of US Consumer Credit Fluctuation Using Artificial Neural Networks. Communications of the IBIMA (CIBIMA), IBIMA publishing.
Keith, W. Hipel, A., Ian, McLeod, 1994: Time series modelling of water resources and environmental systems. Elsevier Science B.V., no 45, page 210.
Keyantash, J., Dracup, J.A, 2002: The quantification of drought: an evaluation of drought indices. Bull Am Meteorol Soc 83, 1167–1180.
Lungu, Marius, Păltineanu, Cr., Mihăilescu I.,F., 2008: Riscuri climatice şi hidrologice. Editura Universitară, Bucureşti, 193 pp.
Marica, A.C, Busuioc, A., 2004: The potential of climate change on the main components of water balance relating to maize crop. Rom J Meteorol 6(1–2), 50–57.
Schwartz, P., Randall, D., 2003: An Abrupt Climate Change Scenario and its Implications for United States National Security., www.environmentaldefense. org/documents /3566_AbruptClimateChange.pdf. , 22 p.
Surfer 8 (2002) Surfer 8 Program, Surface mapping system, Golden Software, Golden, CO, USA. www.goldensoftware.com.
Zenon, Waszczyszyn, 2000: Fundamentals of Artificial Neuronal Networks. Institute of Computer Methods in Civil Engineering.
Ajith Abraham, Bernard de Baets and all, 2006: Applied Soft Computing Techniques: The Challenge of Complexity. Springer-Verlag Berlin Heidelberg. GeoConference on Energy and Clean Technologies
Akira, Hirose, 2003: Complex-valued neural networks: theories and applications. World Science Publishing Co Pte. Ltd, Singapore.
Alyuda Neurointelligence - Http://Www.Alyuda.Com/Neural-Networks- Software.Htm
Anupam, Shukla, Ritu, Tiwari, Rahul, Kala, 2010: Towards Hybrid and Adaptive Computing: A Perspective, Studies in Computational Intelligence, Springer-Verlag Berlin Heidelberg, page 36.
La Meteorologie, 449 - 458.
De, Xiaohui, Liu, Paul, R., Cohen, Paul, Cohen, 1997: Advances in Intelligent Data Analysis, Reasoning about Data . Second International Symposium, IDA-97, London, UK, August, 1997, Proceedings, page 58.
Do, Ó A., 2005: Regional Drought Analysis and Mitigation Using the SPI. CD - Rom. ICID 21st European Regional Conference, Topic 4. 15 -19 May 2005 - Frankfurt (Oder) and Slubice - Germany and Poland.
Dumitru, Iulian, Năstac, Reţele, 2000 : Neuronale Artificiale. Procesarea avansată a datelor (Artificial Neural Network. Advance Data Processing.). Printech Pub. , Bucharest, 2000.
Fahlman, S. E., 1988: Faster-Learning Variations on Back-Propagation: An Empirical Study. Proceedings of 1988 Connectionist Models Summer School.
Ilie, C., Margareta, Ilie, Ana-Maria, Topalu, Lucia, Melnic, 2012 : The Simulation of US Consumer Credit Fluctuation Using Artificial Neural Networks. Communications of the IBIMA (CIBIMA), IBIMA publishing.
Keith, W. Hipel, A., Ian, McLeod, 1994: Time series modelling of water resources and environmental systems. Elsevier Science B.V., no 45, page 210.
Keyantash, J., Dracup, J.A, 2002: The quantification of drought: an evaluation of drought indices. Bull Am Meteorol Soc 83, 1167–1180.
Lungu, Marius, Păltineanu, Cr., Mihăilescu I.,F., 2008: Riscuri climatice şi hidrologice. Editura Universitară, Bucureşti, 193 pp.
Marica, A.C, Busuioc, A., 2004: The potential of climate change on the main components of water balance relating to maize crop. Rom J Meteorol 6(1–2), 50–57.
Schwartz, P., Randall, D., 2003: An Abrupt Climate Change Scenario and its Implications for United States National Security., www.environmentaldefense. org/documents /3566_AbruptClimateChange.pdf. , 22 p.
Surfer 8 (2002) Surfer 8 Program, Surface mapping system, Golden Software, Golden, CO, USA. www.goldensoftware.com.
Zenon, Waszczyszyn, 2000: Fundamentals of Artificial Neuronal Networks. Institute of Computer Methods in Civil Engineering.
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