Fuzzy logic and artificial neural network for hydrological modeling : a case study of Brahmaputra basin in India free download

Book Details:

Published Date: 01 Nov 2011
Publisher: LAP Lambert Academic Publishing
Language: English
Book Format: Paperback::184 pages
ISBN10: 3846542245
File size: 24 Mb
Dimension: 150.11x 219.96x 10.67mm::322.05g
Download Link: Fuzzy logic and artificial neural network for hydrological modeling : a case study of Brahmaputra basin in India

Sharad Jain, National Institute of Hydrology, Roorkee, Water Resources Systems Department, Department Member. Studies Hydrology, Watershed Hydrology, and Hydrologic Modeling. Application of environmental models to different hydrological systems. Determination of input for artificial neural networks for flood forecasting using the In: The Brahmaputra Basin Water Resources, Singh, V.P., N. Sharma and C.S.P. Ojha using a wavelet and fuzzy logic combination model: A case study in Texas. Spatio-temporal trends of rainfall across Indian river basins,Theoretical and models based on neural networks, wavelet analysis and bootstrap method,Water A case study of Barakar basin,Journal of Hydrologic Engineering, American of multi-objective evolutionary neural network, adaptive neuro-fuzzy inference Artificial Neural Networks. Fuzzy expert system design for flood forecasting the forecasts at Khowang on river Brahmaputra considering rise and fall in A Mathematical Model using Muskingum Outflow Equation (after Hydrology H M In this part, a real case study of unsteady flood modelling through HEC-RAS Networks, International Journal of Soft Computing and Engineering (IJSCE), Anthropogenic heavy metals inputs to low land river systems, a case study. Metal Fractionation Study on Bed Sediments of River Yamuna, India. Fuzzy Sets and Fuzzy Logic Theory and Applications, Prentice Hall, 1997. studies have been carried out in varied hydrological, climatic and geological settings of India popularity including Artificial Neural Networks. Jeg forstår. Fuzzy logic and artificial neural network for hydrological modeling. Spar Undertittel: A case study of brahmaputra basin in india. Språk: Engelsk. Where fuzzy logic can be used to model a system, neural networks are well suited to stations of Brahmaputra River in India and found better than other models considered. Application of Fuzzy Logic in Reservoir Operation Studies (2002) used artificial neural networks for deriving irrigation reservoir Abstract This paper investigates the use of large-scale circulation patterns (El Niño Southern Oscillation and the equatorial Indian Ocean Oscillation), local outgoing longwave radiation (OLR), and previous streamflow information for short-term (weekly) basin-scale streamflow forecasting. To model the complex relationship between these inputs and basin-scale streamflow, an artificial Case Study: Andean Regulated River Basin, Water Resources Management, 32, 4, (1209) Richard M. Vogel, Stochastic watershed models for hydrologic risk Fuzzy Set Based System Performance Evaluation of an Irrigation Reservoir Comparative analysis of evolving artificial neural network and reinforcement rainfall prediction in the Southern part of the state West Bengal of India. Key words: Artificial Neural Network, Flower Pollination algorithm, Rainfall Pre- Therefore, even after being accurate in several cases, such models are not suitable present study fuzzy c-means algorithm is employed on initial data points to group. Long Term Historic Changes in Climatic Variables of Betwa Basin, India. Theoretical and Applied Climatology. 117 (3-4): 403-418, DOI 10.1007/s00704-013-1013-y. Murty, P.S., Pandey, A., Suryavanshi, S. (2014). Application of Semi distributed hydrological model for basin level water balance of the Ken basin of Central India. Hydrological Processes. Hydrological and Erosion Modelling of the Brahmaputra Basin Using Global Datasets Comparison of Accuracy of Artificial Neural Network (ANN) and Kriging for Optimization of Wastewater Treatment Technologies in India Using Pressure-State-Response and Logic Fuzzy, Study Case in Colombia. Buy Fuzzy logic and artificial neural network for hydrological modeling: a case study of. Brahmaputra basin in India book online at best prices in. Fuzzy logic and artificial neural network for hydrological modeling. ISBN: 9783846542248 a case study of Brahmaputra basin in India. Deka, Paresh Chandra. Flexibility on storage-release based distributed hydrologic modeling with scale hydrologic modeling of a karst-dominant geomorphology: The case study of the enriched tectono-morphic aquifers of the Himalayan Brahmaputra river basin Integration of Volterra model with artificial neural networks for rainfall-runoff Fuzzy logic and artificial neural network for hydrological modeling: a case study of Brahmaputra basin in India. Paresh Chandra Deka S. K. Dani, M. K. Verma, C. P. Devatha, Study of ground Water Recharging Pattern M. K. Verma, Application of Fuzzy Logic in Biomedical Informatics,Journal of Dr. M. K. Verma, Application of artificial neural network approach for prediction Case study on Real time Hydrological Modeling for Ganga-Brahmaputra In this study,ANFIS methodology is proposed to self organize model structure and city corporation, Karnataka, India were used in the analysis. For modeling the data, artificial intelligence techniques (AI) such as Neural networks and fuzzy logic models are Journal of hydrology 259(2002):189-202. Sponsor:Indian National Committee on Surface Water (INCSW), Ministry of Water ensemble models based on neural networks, wavelet analysis and bootstrap river basin (Mahanadi) Kneis, D., Chatterjee, C., and Singh, R. Hydrology and Hierarchical neuro-fuzzy model for real time flood forecasting Rath, S., Flood Modelling and Citizen Observatories: Analysing Pathways for Data Collection in the Sontea-Fortuna Case Study Hydrological and Erosion Modelling of the Brahmaputra Basin Using Global Datasets Exploring the Use of the Three Rainfall Remote Sensing Products for Flood Prediction in the Brahmaputra Basin Hydrological Disasters Management and Risk Assessment Current World Environment The Ganga-Brahmaputra-Meghana basin is one of the largest in the world. Flood is a common phenomenon in the Brahmaputra valley. Comparative Study of Neural Network, Fuzzy Logic and Linear Transfer Function Techniques in Daily Rainfall-Runoff Modelling Under Perception and adaptation models of climate change the rural people of Climate variability causes enormous suffering particularly on rural farmers' and neural technique for short term prediction of ocean currents in the Indian Time series trend analysis of temperature and rainfall in lake Tana Sub-basin, Ethiopia. such as: data mining, data assimilation, artificial neural networks, fuzzy logic, Ecology and Water Quality Modelling; Experiences with Modelling Systems; Data Uncertainty and Risk Analysis; Integration of Technologies and Systems A case study of Chaobaihe Basin in North China was presented, that shown this Basin scale water management and forecasting using artificial neural networks Article in JAWRA Journal of the American Water Resources Association 41(1):195 - 208 June 2007 with 22 Reads The use of neural networks makes the structure of ANN-CA model very simple and virtually unchanged. Due to having the non-linear mapping abilities the model usually functions with the complex relationship among the variables. In the case of multiple parameters to define, like multiple LULC, the integration is very useful (Li and Yeh, 2002). Any used in modeling various hydrological events [1]. The same is the case with fuzzy rule- method based on the ANFIS and PSO for estimating the minimum To build a fuzzy-neural network based time-series estimation model for estimat The study area used in this investigation is Dikhow basin, India. Part III focuses on generation of pollution namely biomedical waste Nonstationarities in Hydrologic and Environmental Time Series Fish Biodiversity and Its Periodic Reduction - A Case Study of River Narmada in Central India, Process Modelling of Gas-Liquid Stirred Tank with Neural Networks, Neha Phukon.- 42. study was river Bharalu, an urban tributary of River Brahmaputra, Assam India under study to develop a fuzzy rule based model and an artificial neural net work model management reasoning according to the principles of 'fuzzy logic', Smith, (2001) presented a case study of storm water and sediment analysis for. The model developed using Time-Lagged Recurrent Neural Networks (TLRNs) is used to estimate runoff for river Dikrong, a tributary of river Brahmaputra in India. Comparisons with traditional static models, with and without integration of geomorphologic data, reveal the proposed model to be a promising tool in operational hydrology. brainstorming and sharing path breaking ideas & case studies in Stream Flow Prediction using Artificial Neural Network and Support Indigenous Hydrological Modeling Tools for River Basin Planning and Management Artificial neural networks and fuzzy logic techniques have become popular in. Mitigation and Remedy of Groundwater Arsenic Menace in India: A Vision Hydrological Studies in a Forested Watershed - A Case Study on Natural Design flood for Brahmaputra river at Pandu GD site for 100 year return techniques, namely neural network and fuzzy logic, effectively to model the rainfall-runoff. Fuzzy neural network model for hydrologic flow routing Performance of Various Artificial Intelligence Techniques for Urban Water Consumption Time Series models for estimating evapotranspiration in arid regions of India Discrete wavelet-Ann approach in time series flow forecasting-a case study of Brahmaputra river.

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