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Modelling Forecasting Artificial Neural Network and Expert System in Fisheries and Aquaculture
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Ajit K Roy, Niranjan Sarangi
xv+239p., figs., tabls., ind., 25 cm
First Published, 2009
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Weight :  546 gms
Binding :  Hard Bound
Height :  23 cm
Width :  15 cm
Imprint :  Daya Publishing House
Year :  2018
 

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ISBN: 9788170355717
Status: In Stock 
Price: Rs 1595.00  

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.

Contents Chapter 1: Statistical Modelling in Fisheries Research: An Overview by Prajneshu
Chapter 2: Is Fisheries Sector in India Changing its Gear by Ganesh Kumar
Chapter 3: Non-Linear Models for Forecasting Fish Production from Ponds by Lalmohan Bhar
Chapter 4: Statistical Models and their Application in Fishery Science Research by R Venugopalan and Prajneshu
Chapter 5: Methods of Forecasting and their Application in Fishery Science by P K Sahu
Chapter 6: Modelling in Aquaculture by A K Roy
Chapter 7: Modelling of Multiobjective Freshwater Aquaculture by Pratap K J Mohapatra, Santosh K Prusty and C K Mukherjee
Chapter 8: A Revisit to Building up Models in Fishery Research by Satyabrata Pal and Subhabaha Pal
Chapter 9: Quantitative Techniques for Fish Stock Assessment by R S Biradar
Chapter 10: Quantitative Techniques for Fish Stock Assessment by R S Biradar
Chapter 11: Tropho-Dynamic Modelling for Ecosystem Based Fisheries Management by Preetha Panikkar and M feroz Khan
Chapter 12: Forecasting of Fish Production of India by Culture Environment and Species by A K Roy and Nirupama Panda
Chapter 13: Expert Systems and Simulation Studies in Agriculture Aquaculture by J Panduranga Rao
Chapter 14: Recent Trends in Artifical Neural Network (ANN) and Fuzzy Logic and their Application in Aquaculture by M Balakrishnan and R C Srivastava
Chapter 15: Soft Computing Techniques for Data Analysis and Modelling in Fisheries by H C Verma
Chapter 16: An Econometric Model for Productivity Analysis of Aquaculture Farms by A K Roy, G S Saha, N Sarangi and Nibedita Jena

Sri Ajit Kumar Roy is presently Principal Scientist and Head, Social Science Section, Central Institute of Freshwater Aquaculture, Bhubneswar, Odisha.

Dr. N. Sarangi is Director, Central Institute of Freshwater Aquaculture, Bhubneswar, India.

   

  Biotechnology
Aquaculture
Fisheries
Information Science
 
   

   
   

  Ajit K Roy
Niranjan Sarangi
 
   

   
   
 
 
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Modelling Forecasting Artificial Neural Network and Expert System in Fisheries and Aquaculture

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