Computational Intelligence Techniques in Earth and Environmental Sciences /

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Islam, Tanvir. (Editor ), Srivastava, Prashant K. (Editor ), Gupta, Manika. (Editor ), Zhu, Xuan. (Editor ), Mukherjee, Saumitra. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	Dordrecht : Springer Netherlands : Imprint: Springer, 2014.
Edición:	1st ed. 2014.
Materias:	Environment. Physical geography. Climate change. Environment, general. Earth System Sciences. Climate Change.

Tabla de Contenidos:

Chapter 1: Computational intelligence techniques and applications
Chapter 2: Vector Autoregression (VAR) Modeling and Forecasting on Temperature, Humidity and Cloud Coverage
Chapter 3: Exploring the Behavior and Changing Trends of Rainfall and Temperature using Statistical Computing Techniques
Chapter 4: Time Series Model Building and Forecasting on Maximum Temperature Data
Chapter 5: GIS Visualization of Climate Change and Prediction of Human Responses. Chapter 6: Markov Chain Analysis of Weekly Rainfall Data for Predicting Agricultural Drought
Chapter 7: Forecasting tropical cyclones in Bangladesh: a Markov renewal approach
Chapter 8: Performance of Wavelet Transform on Models in Forecasting Climatic Variables
Chapter 9: Analysis of Inter-annual Climate Variability Using Discrete Wavelet Transform
Chapter 10: Modelling of suspended sediment concentration carried in natural streams using fuzzy-genetic approach
Chapter 11: Prediction of local scour depth downstream of bed sills using soft computing models
Chapter 12: Evaluation of wavelet-based denoising approach in hydrological models linked to Artificial Neural Networks
Chapter 13: Evaluation of Mathematical Models with utility Index: A Case Study from Hydrology.

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