Artificial Neural Networks and Multi-Criteria Decision Making Approaches
Buch, Englisch, 275 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 623 g
ISBN: 978-3-030-66682-8
Verlag: Springer International Publishing
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Geowissenschaften Umweltwissenschaften Wasserversorgung
- Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
- Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Geowissenschaften Geologie Meteorologie, Klimatologie
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Energiewirtschaft: Alternative & Erneuerbare Energien
Weitere Infos & Material
Introduction.- Water Management.- A review of multiple criteria decision-making methods in reference to water resources and climate science applications.- Development of AHP based Spatial Cognitive model for estimation of Ungauged Runoff for Mesoscale Rivers.- Indicator based Impact Analysis of Urbanization with respect to Evapo-transpiration.- Trend Analyses in Groundwater Levels of Bikaner District, Rajasthan.- Climate Change Impact on Virtual Water Availability: A Categorized Polynomial Neural Network Approach.- Development of ANN Model for Simulation of the Runoff as Affected by Climatic Factors on the Jamuna river, Assam, India.- Modelling of Reference Evapotranspiration for Semi-Arid climates using Artificial Neural Network.- Verifying storm water drainage system capacity for Vadodara airport.- Energy Management.- Optimal Trade-Off Between the Energy – Economy of a Hydropower Plant for Better Management of the Renewable Energy Resources.- Impact Analysis of Water, Energy and Climatic Variables on Performance of Surface Water Treatment Plants.- Power Allocation in an Educational Institute in India: A Fuzzy-GMDH Approach.- Application of new Convergent Point Decision Making Method in Uncertainty Analysis of Hydro Power Plants.- Impact of location factors on Models for Predicting wave Energy Potential: A review.- Conclusion.