Artificial neural network modelling (43 resultados)
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Hardcover. Condición: New. ISBN:9788170355717.
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Hardcover. Condición: New. 2nd Edition. Contents: 1. Statistical Modelling in Fisheries Research: An Overview/Prajneshu. 2. Is Fisheries Sector in India Changing its Gear/Ganesh Kumar. 3. Non-Linear Models for Forecasting Fish Production from Ponds/Lalmohan Bhar. 4. Statistical Models and their Application in Fishery Science Res…earch/R Venugopalan and Prajneshu. 5. Methods of Forecasting and their Application in Fishery Science/P. K. Sahu. 6. Modelling in Aquaculture/A. K. Roy. 7. Modelling of Multiobjective Freshwater Aquaculture/Pratap K J Mohapatra, Santosh K Prusty and C K Mukherjee. 8. A Revisit to Building up Models in Fishery Research/Satyabrata Pal and Subhabaha Pal. 9. Quantitative Techniques for Fish Stock Assessment/R S Biradar. 10. Quantitative Techniques for Fish Stock Assessment/R S Biradar.11. Tropho-Dynamic Modelling for Ecosystem Based Fisheries Management/Preetha Panikkar and M feroz Khan. 12. Forecasting of Fish Production of India by Culture Environment and Species/A K Roy and Nirupama Panda. 13. Expert Systems and Simulation Studies in Agriculture Aquaculture/J Panduranga Rao. 14. Recent Trends in Artifical Neural Network (ANN) and Fuzzy Logic and their Application in Aquaculture/M Balakrishnan and R C Srivastava. 15. Soft Computing Techniques for Data Analysis and Modelling in Fisheries/H C Verma. 16. An Econometric Model for Productivity Analysis of Aquaculture Farms/A K Roy, G S Saha, N Sarangi and Nibedita Jena. The book entitled 'Modelling Forecasting Artificial Neural Network and Expert System in Fisheries and Aquaculture is the first of its kind avilable in the market. The book contains altogether sixteen chapter covering both capture and culture fisheries aspects contributed by various subject matter specialists engaged in research and development activities at various national institutes of repute. Each of the chapters has been specially written by an expert in the field bringing together in a single volume a range of approaches and reviews covering conceptual and mathematical model empirical and theoretical model deterministic and stochastic model biological model pond ecosystem model and explanatory models. Both linear as well as nonlinear models applied to fisheries and aquaculture research has been dealt with illustrated examples on current real fisheries data. Adequate attention has been given to select chapters that contain both theoretical as well as applied areas of research. Important chapters like statistical modelling and their application in fisheries quantitative methods in fish stock assessment time series modeling tropho dynamic modelling and forecasting of fish production by environment and species/groups have been added. Methods of multiobjective freshwater aquaculture model are altogether a new approach in aquaculture research containing valuable information. Besides conventional methods latest developments on expert system simulation articial neural network fuzzy logic soft computing techniques in data analysis have been documented for the first time in India. Advanced econometric approach in productivity analysis has been demonstrated with a real field data identifying the role of socio-economic and farm specific management variables on technical efficiency of aquaculture farm. Finally the book provides a comprehensive account of recent developments in modelling and forecasting and also an insightful and authoritative overview of the broad umbrella of modelling and forecasting. Each and every chapter is important for researchers planners and those associated with development activities to cope with the most challenging task of providing food and nutritional security to the present population as well as to plan for supply of food to the future population of the country. (jacket).
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Serie: Libro 145 de 538 - Studies in Computational Intelligence
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Taschenbuch. Condición: Neu. Groundwater Modelling | A Comparison Between Multiple Regression and Artificial Neural Network Approaches | Rupak Sarkar | Taschenbuch | 156 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659259487 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 4…9078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Condición: Neu. Stochastic Disaggregation Modelling of Rainfall series | Application of Artificial Neural Network to Disaggregation of Rainfall Time Series | Shashank Singh (u. a.) | Taschenbuch | 140 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659435782 | Verantwortliche Person für die EU: BoD…- Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Taschenbuch. Condición: Neu. River Flow Modelling Using Artificial Neural Network | A Case Study Of Upper Kharun Catchment In Chhattisgarh, India | Jitendra Sinha (u. a.) | Taschenbuch | 168 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659474835 | Verantwortliche Person für die EU: BoD - Books on Demand, In d…e Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Taschenbuch. Condición: Neu. Availability Based SI Engine Model Optimisation | Using Simulation, Modelling, Artificial Neural Network (ANN) and Particle Swarm Optimisation (PSO) | Kambiz Rezapour | Taschenbuch | 212 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659281068 | Verantwortliche Person für die EU: pr…eigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Condición: Neu. Artificial Neural Network Modelling | Subana Shanmuganathan (u. a.) | Taschenbuch | vii | Englisch | 2018 | Springer | EAN 9783319803630 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers theoretical aspects as well as recent innovativeapplications of Artificial Neural networks (ANNs) in natural, environmental,biological, social, industrial and automated systems.It presents recent results of ANNs in modelling small,… largeand complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological andEnvironmental Systems and 3) Advancesin Modelling Social and Economic Systems.The book aims at serving undergraduates, postgraduates and researchersin ANN computational modelling.
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers theoretical aspects as well as recent innovativeapplications of Artificial Neural networks (ANNs) in natural, environmental,biological, social, industrial and automated systems.It presents recent results of ANNs in modelling small, largea…nd complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological andEnvironmental Systems and 3) Advancesin Modelling Social and Economic Systems.The book aims at serving undergraduates, postgraduates and researchersin ANN computational modelling.
Artificial Neural Network Modelling
Shanmuganathan, Subana (Edited by)/ Samarasinghe, Sandhya (Edited by)
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Water is vital for life and the initial step in its management is to quantify the runoff produced in the catchment area due to rainfall. For stream flow measurement gauging of catchment is done. Because of the high cost involved in…the setting up and maintenance of gauging stations, it is not possible to set up and maintain the stations over many locations for a long period of time. Thus, although many large catchments are gauged, a lot of small catchments still remain ungauged. The problem demands for modelling of stream flow. The traditional techniques of modelling not only require lengthy and reliable rainfall-runoff records, but also a procedure for updating the model parameters from time to time. Under such condition stream flow modelling is performed with reasonable accuracy by data driven artificial intelligence technique such as Artificial Neural Network. This book provides a comprehensive approach to stream flow modelling of Upper Kharun Catchment in Chhatttisgarh, India; involving two different methodologies of Artificial Neural Network. The book will be highly useful to the research scholars, academicians, hydrologists and water resources engineers. 168 pp. Englisch.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sinha JitendraJitendra SinhaB.Tech. Agril. Engg.(Gold Medalist) JNKVV, JabalpurM.Tech. SWC Engg.,(First Class) GBPUA&T, PantnagarPhD. Soil & Water Engg.(Gold Medalist), IGKV, RaipurDr Jitendra Sinha, Sc…ientist, SWE, Indira Gandhi Kri.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Groundwater is being exploited indiscriminately to meet our ever increasing demand of water in different parts of the world. In India, the Gangetic plane is amongst the most fertile land of the country. Over the past couple of decades, i…ntensive growth in agriculture, industries, and human population have increased the water demand substantially. As a result severe problems of groundwater table declination have taken place causing threat to future availability of water. Keeping these in view, a study was undertaken in the Ramganga-Bahgul interbasin of Uttar Pradesh, India, to investigate the groundwater behaviour, analyse the causes behind water table declination, and estimate the stages of groundwater development. The collected field data were used to develop groundwater models using multiple regression and artificial neural network (ANN) approaches for the prediction of seasonal water table depths below ground level in the study area. The performance of both multiple regression and ANN models were compared and evaluated.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Meteorological models generate fields of precipitation and other climatological variables as spatial averages at the scale of the grid used for numerical solution. The grid-scale can be large, particularly for general circulation models…and disaggregation is required. Disaggregation models were introduced in hydrology by the pioneering work of Valencia and Schaake (1972, 1973). Disaggregation models are widely used tools for the stochastic simulation of hydrologic series. They divide known higher-level values (e.g. annual) into lower level ones (e.g. seasonal), which add up to the given higher level. Thus ability to transform a series from a higher time scales to a lower one. Artificial Neural Network that mimics working of human neurons has proved to be a better performing model compared to stochastic and mathematical modeling of hydrological series. The result identified for Valencia-Schaake Model, Lane's Model and using ANN technique have been thoroughly discussed for their application and better understanding of Disaggregation modeling.
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Water is vital for life and the initial step in its management is to quantify the runoff produced in the catchment area due to rainfall. For stream flow measurement gauging of catchment is done. Because of the high cost involved in the…setting up and maintenance of gauging stations, it is not possible to set up and maintain the stations over many locations for a long period of time. Thus, although many large catchments are gauged, a lot of small catchments still remain ungauged. The problem demands for modelling of stream flow. The traditional techniques of modelling not only require lengthy and reliable rainfall-runoff records, but also a procedure for updating the model parameters from time to time. Under such condition stream flow modelling is performed with reasonable accuracy by data driven artificial intelligence technique such as Artificial Neural Network. This book provides a comprehensive approach to stream flow modelling of Upper Kharun Catchment in Chhatttisgarh, India; involving two different methodologies of Artificial Neural Network. The book will be highly useful to the research scholars, academicians, hydrologists and water resources engineers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Water is vital for life and the initial step in its management is to quantify the runoff produced in the catchment area due to rainfall. For stream flow measurement gauging of catchment is done. Because of the high cost involved in the s…etting up and maintenance of gauging stations, it is not possible to set up and maintain the stations over many locations for a long period of time. Thus, although many large catchments are gauged, a lot of small catchments still remain ungauged. The problem demands for modelling of stream flow. The traditional techniques of modelling not only require lengthy and reliable rainfall-runoff records, but also a procedure for updating the model parameters from time to time. Under such condition stream flow modelling is performed with reasonable accuracy by data driven artificial intelligence technique such as Artificial Neural Network. This book provides a comprehensive approach to stream flow modelling of Upper Kharun Catchment in Chhatttisgarh, India; involving two different methodologies of Artificial Neural Network. The book will be highly useful to the research scholars, academicians, hydrologists and water resources engineers.
Idioma: Inglés
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Serie: Libro 145 de 538 - Studies in Computational Intelligence
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