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Advanced Fuzzy Systems Design and Applications - Yaochu Jin
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Yaochu Jin:
Advanced Fuzzy Systems Design and Applications - neues Buch

2002, ISBN: 9783790815375

ID: 9783790815375

Advanced Fuzzy Systems Design and Applications: Hardback: Physica-Verlag GmbH & Co: 9783790815375: 18 Nov 2002: Using neural networks and evolutionary algorithms, this book presents a variety of recently developed methods for generating fuzzy rules from data. It considers knowledge incorporation into neural and evolutionary systems and knowledge extraction from data with fuzzy logic. Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net- works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil- ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil- ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted. Algorithms & Data Structures, , , , Advanced Fuzzy Systems Design and Applications, Yaochu Jin, 9783790815375, Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, , , , ,

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Advanced Fuzzy Systems Design and Applications - Yaochu Jin
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Yaochu Jin:
Advanced Fuzzy Systems Design and Applications - neues Buch

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[ED: Buch], [PU: Physica], Neuware - Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted., [SC: 0.00], Neuware, gewerbliches Angebot, FixedPrice, [GW: 596g]

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Advanced Fuzzy Systems Design and Applications - Yaochu Jin
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Yaochu Jin:
Advanced Fuzzy Systems Design and Applications - neues Buch

ISBN: 9783790815375

[ED: Buch], [PU: Physica], Neuware - Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted., Neuware, gewerbliches Angebot, FixedPrice, [GW: 596g]

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2003, ISBN: 3790815373

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Gebunden Zustand: Sehr gut, X, 271 p. 180 illus. About this book This book presents a variety of recently developed methods for generating fuzzy rules from data with the help of neural networks and evolutionary algorithms. Special efforts have been put on dealing with knowledge incorporation into neural and evolutionary systems and knowledge extraction from data with the help of fuzzy logic. On the one hand, knowledge that is understandable to human beings can be extracted from data using evolutionary and learning methods by maintaining the interpretability of the generated fuzzy rules. On the other hand, a priori knowledge like expert knowledge and human preferences can be incorporated into evolution and learning, taking advantage of the knowledge representation capability of fuzzy rule systems and fuzzy preference models. Several engineering application examples in the fields of intelligent vehicle systems, process modeling and control and robotics are presented. Written fo scientists ISBN 3790815373 Versand D: 2,00 EUR Fuzzy systems; evolutionary algorithms; knowledge extraction; knowledge incorporation; neural Networks, [PU:Berlin Springer Verlag,]

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Advanced Fuzzy Systems Design and Applications - Jin, Yaochu
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Jin, Yaochu:
Advanced Fuzzy Systems Design and Applications - gebunden oder broschiert

2002, ISBN: 3790815373

ID: A5781536

2003 Gebundene Ausgabe Fuzzy Logik - Fuzzy Set, Fuzzy Set ( Fuzzy Logik ), Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, AI ( Künstliche Intelligenz ), Neuronales Netz - Neuronaler Computer - Neurocomputer, Neuronaler Computer - Neurocomputer ( Neuronales Netz ), Neurocomputer ( Neuronales Netz - Neuronaler Computer ), mit Schutzumschlag neu, [PU:Physica]

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Details zum Buch
Advanced Fuzzy Systems Design and Applications
Autor:

Jin, Yaochu

Titel:

Advanced Fuzzy Systems Design and Applications

ISBN-Nummer:

This book presents a variety of recently developed methods for generating fuzzy rules from data with the help of neural networks and evolutionary algorithms. Special efforts have been put on dealing with knowledge incorporation into neural and evolutionary systems and knowledge extraction from data with the help of fuzzy logic. On the one hand, knowledge that is understandable to human beings can be extracted from data using evolutionary and learning methods by maintaining the interpretability of the generated fuzzy rules. On the other hand, a priori knowledge like expert knowledge and human preferences can be incorporated into evolution and learning, taking advantage of the knowledge representation capability of fuzzy rule systems and fuzzy preference models. Several engineering application examples in the fields of intelligent vehicle systems, process modeling and control and robotics are presented.

Detailangaben zum Buch - Advanced Fuzzy Systems Design and Applications


EAN (ISBN-13): 9783790815375
ISBN (ISBN-10): 3790815373
Gebundene Ausgabe
Erscheinungsjahr: 2002
Herausgeber: Physica Verlag
288 Seiten
Gewicht: 0,596 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 28.05.2007 21:11:48
Buch zuletzt gefunden am 18.05.2017 11:41:20
ISBN/EAN: 3790815373

ISBN - alternative Schreibweisen:
3-7908-1537-3, 978-3-7908-1537-5


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