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2010, ISBN: 9781849965743
ID: 667674592
Conventional model-based data processing methods are computationally expensive and require experts knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their associated techniques. This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model. Neural Networks in a Softcomputing Framework is an ideal textbook for graduate students and researchers in this field because in addition to grasping the fundamentals, they can discover the most recent advances in each of the popular models. The systematic survey of each neural-network model and the exhaustive list of references will enable researchers and students to find suitable topics for future research. The important algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. This comprehensive textbook reviews the most popular neural-network methods and associated techniques. Each chapter describes important research results of the respective neural-network methods. Useful for those working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. Bücher > Fremdsprachige Bücher > Englische Bücher > Kinder- & Jugendbücher > Bilderbücher Taschenbuch 13.10.2010 Buch (fremdspr.), Springer, .201
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ISBN: 9781849965743
ID: 96043bf150347d3e1c5f09d9cc7ec318
This comprehensive textbook reviews the most popular neural-network methods and associated techniques. Each chapter describes important research results of the respective neural-network methods. Useful for those working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. Conventional model-based data processing methods are computationally expensive and require experts knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their associated techniques. This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model. Neural Networks in a Softcomputing Framework is an ideal textbook for graduate students and researchers in this field because in addition to grasping the fundamentals, they can discover the most recent advances in each of the popular models. The systematic survey of each neural-network model and the exhaustive list of references will enable researchers and students to find suitable topics for future research. The important algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. Bücher / Fremdsprachige Bücher / Englische Bücher / Kinder- & Jugendbücher / Bilderbücher 978-1-84996-574-3, Springer
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ISBN: 9781849965743
ID: 683523267
Conventional model-based data processing methods are computationally expensive and require experts knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their associated techniques. This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model. Neural Networks in a Softcomputing Framework is an ideal textbook for graduate students and researchers in this field because in addition to grasping the fundamentals, they can discover the most recent advances in each of the popular models. The systematic survey of each neural-network model and the exhaustive list of references will enable researchers and students to find suitable topics for future research. The important algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. This comprehensive textbook reviews the most popular neural-network methods and associated techniques. Each chapter describes important research results of the respective neural-network methods. Useful for those working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher>Kinder- & Jugendbücher>Bilderbücher, Springer
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ISBN: 9781849965743
ID: 765f4620b00e89b0ff48eb40e4765a3d
This comprehensive textbook reviews the most popular neural-network methods and associated techniques. Each chapter describes important research results of the respective neural-network methods. Useful for those working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. Conventional model-based data processing methods are computationally expensive and require experts knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their associated techniques. This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model. Neural Networks in a Softcomputing Framework is an ideal textbook for graduate students and researchers in this field because in addition to grasping the fundamentals, they can discover the most recent advances in each of the popular models. The systematic survey of each neural-network model and the exhaustive list of references will enable researchers and students to find suitable topics for future research. The important algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. Bücher / Fremdsprachige Bücher / Englische Bücher 978-1-84996-574-3, Springer
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ISBN: 9781849965743
ID: 118721193
Conventional model-based data processing methods are computationally expensive and require experts knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their associated techniques. This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model. Neural Networks in a Softcomputing Framework is an ideal textbook for graduate students and researchers in this field because in addition to grasping the fundamentals, they can discover the most recent advances in each of the popular models. The systematic survey of each neural-network model and the exhaustive list of references will enable researchers and students to find suitable topics for future research. The important algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. This comprehensive textbook reviews the most popular neural-network methods and associated techniques. Each chapter describes important research results of the respective neural-network methods. Useful for those working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer
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Title: | Neural Networks in a Softcomputing Framework |
ISBN: | 1849965749 |
Details of the book - Neural Networks in a Softcomputing Framework
EAN (ISBN-13): 9781849965743
ISBN (ISBN-10): 1849965749
Paperback
Publishing year: 2010
Publisher: Springer-Verlag GmbH
620 Pages
Weight: 0,923 kg
Language: eng/Englisch
Book in our database since 05.06.2012 15:34:52
Book found last time on 12.02.2017 12:09:12
ISBN/EAN: 1849965749
ISBN - alternate spelling:
1-84996-574-9, 978-1-84996-574-3
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