Computational intelligence : (Record no. 42137)
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| fixed length control field | 12256nam a2201669 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 5271147 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191218152117.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 100317t20152003njua ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780470544297 |
| Qualifying information | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780471274544 |
| Qualifying information | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 0470544295 |
| Qualifying information | electronic |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1109/9780470544297 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)mat05271147 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (IDAMS)0b000064810cc8b1 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CaBNVSL |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | CaBNVSL |
| Modifying agency | CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q342 |
| Item number | .C666 2003eb |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Edition number | 22 |
| 245 00 - TITLE STATEMENT | |
| Title | Computational intelligence : |
| Remainder of title | the experts speak / |
| Statement of responsibility, etc. | edited by David B. Fogel, Charles J. Robinson. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Piscataway, New Jersey : |
| Name of producer, publisher, distributor, manufacturer | IEEE Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | c2003. |
| 264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [Piscataqay, New Jersey] : |
| Name of producer, publisher, distributor, manufacturer | IEEE Xplore, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2003] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 PDF (xviii, 282 pages) : |
| Other physical details | illustrations. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | electronic |
| Source | isbdmedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | CONTRIBUTORS -- PREFACE -- 1. THREE GENERATIONS OF COEVOLUTIONARY ROBOTICS (Jordan B. Pollack, Hod Lipson, Pablo Funes, and Gregory Hornby) -- 1.1 Roboeconomics -- 1.2 Coevolution -- 1.3 Research Thrusts -- 1.4 Conclusion -- Acknowledgments -- References -- 2. BEYOND 2001: THE LINGUISTIC SPATIAL ODYSSEY (James M. Keller, Pascal Matsakis, and Marjorie Skubic) -- 2.1 Introduction -- 2.2 Force Histograms and Linguistic Scene Description -- 2.3 Scene Matching -- 2.4 Human-Robot Dialog -- 2.5 Sketched Route Map Understanding -- 2.6 The Future -- Acknowledgments -- References -- 3. COMPUTING MACHINERY AND INTELLIGENCE AMPLIFICATION (Steven K. Rogers, Matthew Kabrisky, Kenneth Bauer, and Mark E. Oxley) -- 3.1 Introduction -- 3.2 Estimating Intelligence -- 3.3 Turing Test and Intelligence Amplification -- 3.4 Measuring Intelligence Amplification -- 3.5 The Future of Intelligence Amplification -- References -- 4. VISUALIZING COMPLEXITY IN THE BRAIN (Lloyd Watts) -- 4.1 Introduction -- 4.2 Neuroscience Knowledge -- 4.3 Computing Technology -- 4.4 Nontechnical Issues -- 4.5 Conclusions -- References -- 5. EMERGING TECHNOLOGIES: ONR'S NEED FOR INTELLIGENT COMPUTATION IN UNDERWATER SENSORS (James F. McEachern and Robert T. Miyamoto) -- 5.1 Introduction -- 5.2 Background -- 5.3 The Challenge -- 5.4 Current Applications -- 5.5 Future -- 5.6 Summary -- References -- 6. BEYOND VOLTERRA AND WIENER: OPTIMAL MODELING OF NONLINEAR DYNAMICAL SYSTEMS IN A NEURAL SPACE FOR APPLICATIONS IN COMPUTATIONAL INTELLIGENCE (Rui J. P. de Figueiredo) -- 6.1 Introduction -- 6.2 Classes of Nonlinear Dynamical System Models -- 6.3 The de Figueiredo-Dwyer-Zyla Space F -- 6.4 Derivation of Sigmoid Functionals -- 6.5 Best Robust Approximation of f in the Neural Space N -- 6.6 Optimal Combined Structural and Parametric Modeling of Nonlinear Dynamical Systems in N -- 6.7 Computationally Intelligent (CI) Systems -- 6.8 Concluding Remarks -- References -- 7. TECHNIQUES FOR EXTRACTING CLASSIFICATION AND REGRESSION RULES FROM ARTIFICIAL NEURAL NETWORKS (Rudy Setiono). |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 7.1 Introduction -- 7.2 Rule Extraction -- 7.3 Illustrative Examples -- 7.4 Conclusion -- References -- 8. NEURAL NETWORKS FOR CONTROL: RESEARCH OPPORTUNITIES AND RECENT DEVELOPMENTS (Paul J. Werbos) -- 8.1 The Challenge to Researchers: Context and Motivation -- 8.2 A Specific Challenge and Associated Issues -- 8.3 Strategies, Tasks, and Tools -- References -- 9. INTELLIGENT LEARNING ROBOTIC SYSTEMS USING COMPUTATIONAL INTELLIGENCE (Toshio Fukuda and Naoyuki Kubota) -- 9.1 Introduction -- 9.2 Motion Planning and Behavior Acquisition of Robots -- 9.3 Emerging Synthesis of Computational Intelligence -- 9.4 Intelligence on Robotic Systems -- 9.5 Structured Intelligence for Robotic Systems -- 9.6 Concluding Remarks -- References -- 10. COMPUTATIONAL INTELLIGENCE IN LOGISTICS (Hans-Jrgen Zimmermann) -- 10.1 Introduction -- 10.2 Traffic Management -- 10.3 Fleet Management -- 10.4 In-House Logistics -- 10.5 Conclusions -- References -- 11. TWO NEW CONVERGENCE RESULTS FOR ALTERNATING OPTIMIZATION (James C. Bezdek and Richard J. Hathaway) -- 11.1 Iterative Optimization -- 11.2 Existence and Uniqueness -- 11.3 The Alternating Optimization Algorithm -- 11.4 When Is Alternating Optimization a Good Choice? -- 11.5 How Do We Solve (11.1)? -- 11.6 Local Convergence of Alternating Optimization -- 11.7 Global Convergence of AO -- 11.8 Conclusions -- Acknowledgment -- References -- 12. CONSTRUCTIVE DESIGN OF A DISCRETE-TIME FUZZY CONTROLLER BASED ON PIECEWISE-LYAPUNOV FUNCTIONS (Gang Feng, Dong Sun, and Louis Wang) -- 12.1 Introduction -- 12.2 Fuzzy Dynamic Model and Its Piecewise-Quadratic Stability -- 12.3 Controller Synthesis of Fuzzy Dynamic Systems -- 12.4 Simulation Examples -- 12.5 Conclusions -- Acknowledgments -- References -- Appendix -- 13. EVOLUTIONARY COMPUTATION AND COGNITIVE SCIENCE (Janet Wiles and Jennifer Hallinan) -- 13.1 Cognitive Science: What's on Your Mind? -- 13.2 Case Studies in Evolutionary Computation and Cognitive Science -- 13.3 Summary -- References -- 14. EVOLVABLE HARDWARE AND ITS APPLICATIONS (T. Higuchi, E. Takahashi, Y. Kasai, T. Itatani, M. Iwata, H. Sakanashi, M. Murakawa, I. Kajitani, and H. Nosato). |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 14.1 Introduction -- 14.2 Myoelectric Prosthetic Hand Controller with EHW -- 14.3 Data-Compression Chip for Printing Image Data -- 14.4 Analog EHW Chip for Cellular Phone -- 14.5 An EHW-Based Clock-Timing Adjusting Chip -- 14.6 Evolvable Optical Systems and Their Application -- 14.7 Current Research on EHW -- References -- 15. HUMANIZED COMPUTATIONAL INTELLIGENCE WITH INTERACTIVE EVOLUTIONARY COMPUTATION (Hideyuki Takagi) -- 15.1 Introduction -- 15.2 Humanized Computational Intelligence -- 15.3 Interactive Evolutionary Computation -- 15.4 Conclusion -- References -- 16. UNSUPERVISED LEARNING BY ARTIFICIAL NEURAL NETWORKS (Harold Szu) -- 16.1 A New Challenge: Space-Variant Unsupervised Classifications -- 16.2 Power of Pairs: Vector versus Scalar Data -- 16.3 Generalization of Shannon's Entropy Information Theory to Open Systems -- 16.4 Benchmarks of Space-Variant Unsupervised Classification -- 16.5 Multispectral Medical Imaging -- 16.6 Multispectral Remote Sensing -- 16.7 Biological Relevance -- 16.8 Conclusion -- Acknowledgments -- References -- 17. COLLECTIVE INTELLIGENCE (David H. Wolpert) -- 17.1 Motivation and Background -- 17.2 The Mathematics of Designing Collectives -- 17.3 Tests of the Mathematics -- 17.4 Conclusion -- References -- 18. BACKPROPAGATION: GENERAL PRINCIPLES AND ISSUES FOR BIOLOGY (Paul J. Werbos) -- 18.1 Introduction -- 18.2 The Chain Rule for Ordered Derivatives -- 18.3 Backpropagation for Supervised Learning -- 18.4 Discussion and Future Research -- References -- INDEX -- ABOUT THE EDITORS. |
| 506 1# - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Restricted to subscribers or individual electronic text purchasers. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The definitive survey of computational intelligence from luminaries in the field Computational intelligence is a fast-moving, multidisciplinary field - the nexus of diverse technical interest areas that include neural networks, fuzzy logic, and evolutionary computation. Keeping up with computational intelligence means understanding how it relates to an ever-expanding range of applications. This is the book that ties it all together - and puts that understanding well within your reach. In Computational Intelligence: The Experts Speak, editors David B. Fogel and Charles J. Robinson present an unmatched compilation of expanded papers from plenary and special lecturers attending the 2002 IEEE World Congress on Computational Intelligence. Collectively, these papers provide a compelling snapshot of the issues that define the industry, as observed by some of the top minds in the computational intelligence community. In a series of topical chapters, this comprehensive volume shows how current technology is shaping computational intelligence, and it delivers eye-opening insights into the field's future challenges. The research detailed here covers an array of leading-edge applications, from coevolutionary robotics to underwater sensors and cognitive science, in such areas as: . Self-organizing systems. Situation awareness. Human-machine interaction. Automatic control. Data recognition Computational Intelligence also includes introductions to each grouping of contributions that provide helpful tutorials and discuss important parallels between topics. Whatever your role might be in this dynamic, influential field, this is the one reference that no practitioner of computational intelligence should be without. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on PDF viewed 12/21/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computational intelligence. |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
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| -- | Accuracy |
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| -- | Adaptive control |
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| -- | Algorithm design and analysis |
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| -- | Analytical models |
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| -- | Artificial intelligence |
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| -- | Artificial neural networks |
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| -- | Backpropagation |
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| -- | Biographies |
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| -- | Biological neural networks |
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| -- | Biological system modeling |
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| -- | Biology |
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| -- | Brain modeling |
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| -- | Cognition |
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| -- | Cognitive science |
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| -- | Communities |
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| -- | Complexity theory |
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| -- | Computational intelligence |
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| -- | Computational modeling |
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| -- | Computer architecture |
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| -- | Computer graphics |
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| -- | Containers |
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| -- | Convergence |
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| -- | Cybernetics |
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| -- | Data compression |
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| -- | Equations |
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| -- | Evolutionary computation |
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| -- | Feedforward neural networks |
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| -- | Flexible printed circuits |
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| -- | Force |
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| -- | Force measurement |
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| -- | Fuzzy systems |
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| -- | Gallium |
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| -- | Games |
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| -- | Hardware |
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| -- | Heuristic algorithms |
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| -- | Hilbert space |
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| -- | Histograms |
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| -- | Humans |
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| -- | IEC |
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| -- | Kernel |
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| -- | Labeling |
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| -- | Learning |
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| -- | Lyapunov methods |
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| -- | Mobile robots |
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| -- | Nash equilibrium |
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| -- | Neural networks |
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| -- | Numerical stability |
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| -- | Oceans |
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| -- | Optimization |
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| -- | Partitioning algorithms |
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| -- | Pixel |
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| -- | Planning |
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| -- | Prediction algorithms |
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| -- | Real time systems |
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| -- | Sensor systems |
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| -- | Sonar |
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| -- | Stability analysis |
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| -- | Supervised learning |
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| -- | Support vector machine classification |
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| -- | Training |
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| -- | Transportation |
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| -- | Unsupervised learning |
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| -- | Vehicles |
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| -- | Visualization |
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| -- | Weapons |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Fogel, David B. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Robinson, Charles J., |
| Dates associated with a name | 1947- |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | John Wiley & Sons, |
| Relator term | publisher. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | IEEE Xplore (Online service), |
| Relator term | distributor. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9780471274544 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Abstract with links to resource |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5271147 |
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