Expert artificial neural network (24 risultati)
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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Condizione: New. pp. xiv + 239 Figure, Illus.
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Condizione: New. pp. xiv + 239 Index.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. pp. xiv + 239.
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Hardcover. Condizione: New. ISBN:9788170355717.
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Da: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd
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Hardcover. Condizione: 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 Re…search/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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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: Marlton Books, Bridgeton, NJ, U.S.A.Marlton Books
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Condizione: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2025.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! A medical algorithm is any computation, formula, statistical survey, nomogram, or look-up table, useful in healthcare. Medical algorithms include decision tree approaches to healthcare treatme…nt (i.e., if symptoms A, B, and C are evident, then use treatment X) and also less clear-cut tools aimed at reducing or defining uncertainty. Medical algorithms are part of a broader field which is usually fit under the aims of medical informatics and medical decision making. Medical decisions occur in several areas of medical activity including medical test selection, diagnosis, therapy and prognosis, and automatic control of medical equipment. In relation to logic-based and artificial neural network-based medical expert systems, which are also computer applications to the medical decision making field, algorithms are less complex in architecture, data structure and user interface. Medical algorithms are not necessarily implemented using digital computers.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! Connectionist expert systems are artificial neural network (ANN) based expert systems where the ANN generates inferencing rules e.g., fuzzy-multi layer perceptron where linguistic and natural…form of inputs are used. Apart from that, rough set theory may be used for encoding knowledge in the weights better and also genetic algorithms may be used to optimize the search solutions better. Symbolic reasoning methods may also be incorporated (see hybrid intelligent system). (Also see expert system, neural network, clinical decision support system.).
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Medical Algorithm | Statistical survey, Medical informatics, Artificial neural network, Logic, Expert systems, Automatic control, Medical equipment | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130844615 | Verantwortliche Person für die EU: preigu GmbH & Co. K…G, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condizione: Neu. Connectionist Expert System | Artificial Neural Network, Expert System, Perceptron | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131357756 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]d…e | Anbieter: preigu Print on Demand.
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Fuzzy logic | Artificial Neural Network, Cloud Computing, Complexity, Control System, Expert System, Fuzzy Concept, Fuzzy Control System, Fuzzy Mathematics, Fuzzy Set, Rough Set, Type-2 Fuzzy Sets and Systems | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 978613021…3466 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Advancements in Artificial Neural Networks (ANN), machine learning, and deep learning are transforming the way complex science and engineering problems are addressed, offering solutions where traditional methods fall short. These techno…logies enable accurate modeling and analysis in areas such as heat transfer, desalination processes, pollutant biodegradability, and material science, contributing to sustainable development and innovative engineering practices. By applying these methods, researchers can enhance efficiency, optimize resource use, and tackle pressing environmental challenges. This integration of advanced computational tools into real-world applications represents a significant leap forward in addressing multidisciplinary engineering and scientific challenges. Expert Artificial Neural Network Applications for Science and Engineering provides a complete understanding of the ANNs for engineering practices. It discusses current developments in solving complicated engineering problems that cannot be solved using traditional methods. Covering topics such as industrial equipment reliability, manufacturing processes, and air quality forecasting, this book is an excellent resource for mechanical engineers, chemical engineers, civil engineers, electrical engineers, biomedical engineers, computer scientists, professionals, researchers, scholars, academicians, and more.
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