Synopsis
This book deals with the following real time problems: (i) Development of accurate direct and inverse models of complex plants using some novel architecture and new learning techniques. (ii) Development of new training rules which alleviates local minima problem during training and thus help in generating improved adaptive models. (iii)Development of robust training strategy which is less sensitive to outliers in training and thus to create identification and equalization models which are robust against outliers. In essence, this book proposed many new and efficient algorithms and structure for identification and equalization task such as distributed algorithms, robust algorithms, algorithms for pole-zero identification and Hammerstein models. All these new methods are shown to be better in terms of performance, speed of computation or accuracy of results.
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About the Author
Babita Majhi, Ph.D. (NIT Rourkela, 2009), Postdoc (Univ. of Sheffield, UK, 2011-12). Presently she is working as an Asst. Professor in CSIT department at GGU, Central University, Bilaspur, India. Her areas of research interests are Adaptive Signal Processing, Machine Learning, Computational Finance, Distributed Signal Processing, and Data Mining.
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Computational Intelligence Techniques for Direct and Inverse Modelling
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with the following real time problems: (i) Development of accurate direct and inverse models of complex plants using some novel architecture and new learning techniques. (ii) Development of new training rules which alleviates local minima problem during training and thus help in generating improved adaptive models. (iii)Development of robust training strategy which is less sensitive to outliers in training and thus to create identification and equalization models which are robust against outliers. In essence, this book proposed many new and efficient algorithms and structure for identification and equalization task such as distributed algorithms, robust algorithms, algorithms for pole-zero identification and Hammerstein models. All these new methods are shown to be better in terms of performance, speed of computation or accuracy of results. 280 pp. Englisch. Seller Inventory # 9783659907364
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Computational Intelligence Techniques for Direct and Inverse Modelling
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Majhi BabitaBabita Majhi, Ph.D. (NIT Rourkela, 2009), Postdoc (Univ. of Sheffield, UK, 2011-12). Presently she is working as an Asst. Professor in CSIT department at GGU, Central University, Bilaspur, India. Her areas of research int. Seller Inventory # 158125210
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Computational Intelligence Techniques for Direct and Inverse Modelling
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LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 3659907367
ISBN 13: 9783659907364
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book deals with the following real time problems: (i) Development of accurate direct and inverse models of complex plants using some novel architecture and new learning techniques. (ii) Development of new training rules which alleviates local minima problem during training and thus help in generating improved adaptive models. (iii)Development of robust training strategy which is less sensitive to outliers in training and thus to create identification and equalization models which are robust against outliers. In essence, this book proposed many new and efficient algorithms and structure for identification and equalization task such as distributed algorithms, robust algorithms, algorithms for pole-zero identification and Hammerstein models. All these new methods are shown to be better in terms of performance, speed of computation or accuracy of results.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 280 pp. Englisch. Seller Inventory # 9783659907364
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Computational Intelligence Techniques for Direct and Inverse Modelling
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659907367
ISBN 13: 9783659907364
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with the following real time problems: (i) Development of accurate direct and inverse models of complex plants using some novel architecture and new learning techniques. (ii) Development of new training rules which alleviates local minima problem during training and thus help in generating improved adaptive models. (iii)Development of robust training strategy which is less sensitive to outliers in training and thus to create identification and equalization models which are robust against outliers. In essence, this book proposed many new and efficient algorithms and structure for identification and equalization task such as distributed algorithms, robust algorithms, algorithms for pole-zero identification and Hammerstein models. All these new methods are shown to be better in terms of performance, speed of computation or accuracy of results. Seller Inventory # 9783659907364
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Computational Intelligence Techniques for Direct and Inverse Modelling
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Computational Intelligence Techniques for Direct and Inverse Modelling
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