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An introduction to knowledge engineering

著者: S L Kendal; M Creen
出版: London : Springer, ©2007.
エディション/フォーマット:   電子書籍 : Document : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
"An Introduction to Knowledge Engineering presents a simple but detailed exploration of current and established work in the field. The text includes activities and self assessments that provide opportunities for the reader to reflect and reinforce their understanding of the concepts as they progress. The book will be suitable for both undergraduate and postgraduate students in computing science and related  続きを読む
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ジャンル/形式: Electronic books
その他のフォーマット: Print version:
Kendal, S.L. (Simon L.).
Introduction to knowledge engineering.
London : Springer, ©2007
(DLC) 2006925857
(OCoLC)70987401
資料の種類: Document, インターネット資料
ドキュメントの種類: インターネットリソース, コンピューターファイル
すべての著者/寄与者: S L Kendal; M Creen
ISBN: 9781846286674 1846286670 9781846284755 1846284759
OCLC No.: 191452526
物理形態: 1 online resource (x, 287 pages) : illustrations
コンテンツ: An Introduction to Knowledge Engineering --
Data, Information and Knowledge --
Skills of a Knowledge Engineer --
An Introduction to Knowledge Based Systems --
Types of Knowledge Based System-Expert Systems --
Neural Networks --
Case Based Reasoning.-Genetic Algorithms --
Intelligent Agents --
Data Mining-Knowledge Acquisition --
Knowledge Representation and Reasoning --
Using Knowledge --
Logic, Rules and Representation --
Developing Rule Based Systems --
Semantic Networks --
Frames --
Expert System Shells, Environments and Languages 169 --
Expert System Shells --
Expert System Development Environments --
Use of AI Languages --
Lifecycles and Methodologies --
The Need for Methodologies --
Blackboard Architectures --
Problem Solving Methods --
KADS-HyM (the Hybrid Methodology) --
Building a well Structured Application Using Aion BRE --
Uncertain Reasoning --
Hybrid Knowledge --
Based Systems --
Index.
責任者: S.L. Kendal, M. Creen.

概要:

Includes methodologies for the development of hybrid information systems, and covers neural networks, case based reasoning and genetic algorithms. This book is aimed at students in computing science  続きを読む

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From the reviews: "The book is written in a modern style, which should encourage undergraduate students to read it. ... Overall, the book covers all classical topics of knowledge-based systems: 続きを読む

 
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