MARC details
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06086nam a22003853i 4500 |
| 001 - CONTROL NUMBER |
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EBC5138491 |
| 003 - CONTROL NUMBER IDENTIFIER |
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MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20190107154307.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
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m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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181231s2011 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781408225752 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| Cancelled/invalid ISBN |
9781408225745 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(MiAaPQ)EBC5138491 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(Au-PeEL)EBL5138491 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(CaONFJC)MIL333413 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(OCoLC)1017001106 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
MiAaPQ |
| Language of cataloging |
eng |
| Description conventions |
rda |
| -- |
pn |
| Transcribing agency |
MiAaPQ |
| Modifying agency |
MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA76.76.E95N445 2010 |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.3 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Negnevitsky, Michael. |
| 245 10 - TITLE STATEMENT |
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| Title |
Artificial Intelligence : |
| Remainder of title |
A Guide to Intelligent Systems. |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
3rd ed. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource (500 pages) |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Cover -- Contents -- Preface -- Preface To The Third Edition -- Overview Of The Book -- Acknowledgements -- 1 Introduction To Knowledge Based Intelligent Systems -- Intelligent Machines, Or What Machines Can Do -- The History Of Artificial Intelligence, Or From The 'Dark Ages' To Knowledge-Based Systems -- Summary -- Questions For Review -- References -- 2 Rule-Based Expert Systems -- Introduction, Or What Is Knowledge? -- Rules As A Knowledge Representation Technique -- The Main Players In The Expert System Development Team -- Structure Of A Rule-Based Expert System -- Fundamental Characteristics Of An Expert System -- Forward Chaining and Backward Chaining Inference Techniques -- Media Advisor: A Demonstration Rule-Based Expert System -- Conflict Resolution -- Advantages and Disadvantages Of Rule-Based Expert Systems -- Summary -- Questions For Review -- References -- 3 Uncertainty Management In Rule-Based Expert Systems -- Introduction, Or What Is Uncertainty? -- Basic Probability Theory -- Bayesian Reasoning -- Forecast: Bayesian Accumulation Of Evidence -- Bias Of The Bayesian Method -- Certainty Factors Theory and Evidential Reasoning -- Forecast: An Application Of Certainty Factors -- Comparison Of Bayesian Reasoning and Certainty Factors -- Summary -- Questions For Review -- References -- 4 Fuzzy Expert Systems -- Introduction, Or What Is Fuzzy Thinking? -- Fuzzy Sets -- Linguistic Variables and Hedges -- Operations Of Fuzzy Sets -- Fuzzy Rules -- Fuzzy Inference -- Building A Fuzzy Expert System -- Summary -- Questions For Review -- References -- Bibliography -- 5 Frame-Based Expert Systems -- Introduction, Or What Is A Frame? -- Frames As A Knowledge Representation Technique -- Inheritance In Frame-Based Systems -- Methods and Demons -- Interaction Of Frames and Rules -- Buy Smart: A Frame-Based Expert System -- Summary. |
| 505 8# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Questions For Review -- References -- Bibliography -- 6 Artificial Neural Networks -- Introduction, Or How The Brain Works -- The Neuron As A Simple Computing Element -- The Perceptron -- Multilayer Neural Networks -- Accelerated Learning In Multilayer Neural Networks -- The Hopfield Network -- Bidirectional Associative Memory -- Self-Organising Neural Networks -- Summary -- Questions For Review -- References -- 7 Evolutionary Computation -- Introduction, Or Can Evolution Be Intelligent? -- Simulation Of Natural Evolution -- Genetic Algorithms -- Why Genetic Algorithms Work -- Case Study: Maintenance Scheduling With Genetic Algorithms -- Evolution Strategies -- Genetic Programming -- Summary -- Questions For Review -- References -- Bibliography -- 8 Hybrid Intelligent Systems -- Introduction, Or How To Combine German Mechanics With Italian Love -- Neural Expert Systems -- Neuro-Fuzzy Systems -- Anfis: Adaptive Neuro-Fuzzy Inference System -- Evolutionary Neural Networks -- Fuzzy Evolutionary Systems -- Summary -- Questions For Review -- References -- 9 Knowledge Engineering -- Introduction, Or What Is Knowledge Engineering? -- Will An Expert System Work For My Problem? -- Will A Fuzzy Expert System Work For My Problem? -- Will A Neural Network Work For My Problem? -- Will Genetic Algorithms Work For My Problem? -- Will A Hybrid Intelligent System Work For My Problem? -- Summary -- Questions For Review -- References -- 10 Data Mining and Knowledge Discovery -- Introduction, Or What Is Data Mining? -- Statistical Methods and Data Visualisation -- Principal Component Analysis -- Relational Databases and Database Queries -- The Data Warehouse and Multidimensional Data Analysis -- Decision Trees -- Association Rules and Market Basket Analysis -- Summary -- Questions For Review -- References -- Glossary -- Appendix: Ai Tools and Vendors -- Index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. However, available tools and their uses are described, and program examples are given in Java.The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design, while the contemporary coverage means more advanced students will benefit by discovering the latest state-of-the-art techniques, particularly in intelligent agents and knowledge discovery. |
| 590 ## - LOCAL NOTE (RLIN) |
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| Local note |
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Expert systems (Computer science). |
| 655 #4 - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Display text |
Print version: |
| Main entry heading |
Negnevitsky, Michael |
| Title |
Artificial Intelligence : A Guide to Intelligent Systems |
| Place, publisher, and date of publication |
Harlow : Pearson Education UK,c2011 |
| International Standard Book Number |
9781408225745 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) |
|---|
| Corporate name or jurisdiction name as entry element |
ProQuest (Firm) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://ebookcentral.proquest.com/lib/cethalassery/detail.action?docID=5138491">https://ebookcentral.proquest.com/lib/cethalassery/detail.action?docID=5138491</a> |
| Public note |
Click to View |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |