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Analysis and Design of Intelligent Systems using Soft Computing Techniques
15 Angebote vergleichen
Preise | 2013 | 2014 | 2018 | 2019 |
---|---|---|---|---|
Schnitt | € 309,31 | € 327,12 | € 288,36 | € 205,17 |
Nachfrage |
Analysis and Design of Intelligent Systems Using Soft Computing Techniques (2007)
ISBN: 9783540724315 bzw. 3540724311, vermutlich in Englisch, Springer Berlin, Taschenbuch, neu.
This book comprises a selection of papers from IFSA 2007 on new methods for ana- sis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, n- ral networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book can also be used as a reference for graduate courses like the f- lowing: soft computing, intelligent pattern recognition, computer vision, applied ar- ficial intelligence, and similar ones. The book is divided in to twelve main parts. Each part contains a set of papers on a common subject, so that the reader can find similar papers grouped together. Taschenbuch, 05.06.2007.
Analysis and Design of Intelligent Systems using Soft Computing Techniques
ISBN: 9783540724315 bzw. 3540724311, in Deutsch, Springer, Taschenbuch, gebraucht.
This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas. TOC:Part I Type-2 Fuzzy Logic: Theory and Applications.- Part II Fuzzy Clustering: Theory and Applications.- Part III Intelligent Identification and Control .- Part IV Time Series Prediction.- Part V Pattern Recognition.- Part VI Evolutionary Computation.- Part VII Fuzzy Modeling.- Part VIII Intelligent Manufacturing and Scheduling.- Part IX Intelligent Agents.- Part X Neural Networks Theory.- Part XI Robotics.- Part XII Fuzzy Logic Applications. Softcover.
Analysis and Design of Intelligent Systems Using Soft Computing Techniques (2007)
ISBN: 9783540724322 bzw. 354072432X, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
This book comprises a selection of papers from IFSA 2007 on new methods for ana- sis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, n- ral networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book can also be used as a reference for graduate courses like the f- lowing: soft computing, intelligent pattern recognition, computer vision, applied ar- ficial intelligence, and similar ones. The book is divided in to twelve main parts. Each part contains a set of papers on a common subject, so that the reader can find similar papers grouped together. eBook.
Analysis and Design of Intelligent Systems Using Soft Computing Techniques (2007)
ISBN: 9783540724322 bzw. 354072432X, in Deutsch, Springer Berlin, neu, E-Book, elektronischer Download.
Analysis and Design of Intelligent Systems Using Soft Computing Techniques: This book comprises a selection of papers from IFSA 2007 on new methods for ana- sis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, n- ral networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book can also be used as a reference for graduate courses like the f- lowing: soft computing, intelligent pattern recognition, computer vision, applied ar- ficial intelligence, and similar ones. The book is divided in to twelve main parts. Each part contains a set of papers on a common subject, so that the reader can find similar papers grouped together. Englisch, Ebook.
Analysis and Design of Intelligent Systems using Soft Computing Techniques (2007)
ISBN: 9783540724315 bzw. 3540724311, in Deutsch, Springer-Verlag Gmbh Jun 2007, Taschenbuch, neu.
Neuware - This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas. 855 pp. Englisch.
ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES
ISBN: 9783540724315 bzw. 3540724311, in Deutsch, Springer, Berlin/Heidelberg, Deutschland, neu.
Von Händler/Antiquariat, Romtrade Corp. [59069402], Sterling Heights, MI, U.S.A.
Brand New book. We Ship to PO BOX Address also. EXPEDITED shipping option also available for faster delivery.
Analysis and Design of Intelligent Systems using Soft Computing Techniques (2007)
ISBN: 9783540724322 bzw. 354072432X, in Deutsch, Springer, Berlin/Heidelberg, Deutschland, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Analysis and Design of Intelligent Systems Using Soft Computing Techniques
ISBN: 9783540724322 bzw. 354072432X, in Deutsch, Springer-Verlag, neu, E-Book, elektronischer Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Analysis and Design of Intelligent Systems using Soft Computing Techniques
ISBN: 9783540724322 bzw. 354072432X, vermutlich in Englisch, Springer-Verlag GmbH, Taschenbuch, neu, E-Book, elektronischer Download.
Analysis and Design of Intelligent Systems using Soft Computing Techniques als eBook von (2007)
ISBN: 9783540724322 bzw. 354072432X, in Deutsch, Springer Berlin Heidelberg, neu.
Analysis and Design of Intelligent Systems using Soft Computing Techniques ab 272.49 EURO Auflage 2007.