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Computer Science, Technology and Applications Ser.: Expert System Software : Engineering, Advantages and Applications by Albert C. Reiter and Jason M. Segura (2012, Hardcover)

About this product

Product Identifiers

PublisherNOVA Science Publishers, Incorporated
ISBN-101612091148
ISBN-139781612091143
eBay Product ID (ePID)99500181

Product Key Features

Number of Pages244 Pages
LanguageEnglish
Publication NameExpert System Software : Engineering, Advantages and Applications
SubjectExpert Systems, Computer Science, Software Development & Engineering / Systems Analysis & Design
Publication Year2012
TypeTextbook
AuthorAlbert C. Reiter, Jason M. Segura
Subject AreaComputers
SeriesComputer Science, Technology and Applications Ser.
FormatHardcover

Dimensions

Item Weight22.2 Oz
Item Length7.1 in
Item Width10.2 in

Additional Product Features

LCCN2010-047019
Dewey Edition22
IllustratedYes
Dewey Decimal006.3/3
Table Of ContentPreface; Algorithms Based on Paraconsistent Annotated Logic for Applications in Expert Systems; Expert Systems in Flow Analysis; The Potential of Expert Systems in Remote Sensing Applications Domain; Domain-Wide Expert System Applications; Modeling a Parser as an Expert System; Embedded Expert System for Cognitive Congestion & Flow Control in WLANs; An Enhanced Approach for Developing an Expert System for Fund Raising Management; Algebraic Approaches to the Development of Rule Based Expert Systems; Application of Fuzzy Inference Systems (FIS) in the Mineral Industry; Hierarchical Fuzzy Expert Decision Making Systems; Index.
SynopsisThis book presents current research in the study of expert system software, including algorithms based on paraconsistent annotated logic in expert systems; expert flow systems in the agronomical, industrial, environmental, pharmaceutical and geological fields; expert systems in remote sensing; domain-wide expert system applications; modeling a parser as an expert system; embedded expert systems for flow control of delay sensitive real-time traffic in WLANs; expert systems in fund-raising management and algebraic approaches in the development of rule based expert systems.
LC Classification NumberQA76.9.E96E952 2010