The Resource Computational Intelligence in Time Series Forecasting : Theory and Engineering Applications, by Ajoy K. Palit, Dobrivoje Popovic, (electronic resource)

Computational Intelligence in Time Series Forecasting : Theory and Engineering Applications, by Ajoy K. Palit, Dobrivoje Popovic, (electronic resource)

Label
Computational Intelligence in Time Series Forecasting : Theory and Engineering Applications
Title
Computational Intelligence in Time Series Forecasting
Title remainder
Theory and Engineering Applications
Statement of responsibility
by Ajoy K. Palit, Dobrivoje Popovic
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
Foresight in an engineering enterprise can make the difference between success and failure and can be vital to the effective control of industrial systems. Forecasting the future from accumulated historical data is a tried and tested method in areas such as engineering finance. Applying time series analysis in the on-line milieu of most industrial plants has been more problematic because of the time and computational effort required. The advent of soft computing tools such as the neural network and the genetic algorithm offers a solution. Chapter by chapter, Computational Intelligence in Time Series Forecasting harnesses the power of intelligent technologies individually and in combination. Examples of the particular systems and processes susceptible to each technique are investigated, cultivating a comprehensive exposition of the improvements on offer in quality, model building and predictive control, and the selection of appropriate tools from the plethora available; these include: • forecasting electrical load, chemical reactor behaviour and high-speed-network congestion using fuzzy logic; • prediction of airline passenger patterns and of output data for nonlinear plant with combination neuro-fuzzy networks; • evolutionary modelling and anticipation of stock performance by the use of genetic algorithms. Application-oriented engineers in process control, manufacturing, the production industries and research centres will find much to interest them in Computational Intelligence in Time Series Forecasting and the book is suitable for industrial training purposes. It will also serve as valuable reference material for experimental researchers. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control
Member of
Is Subseries of
http://library.link/vocab/creatorName
Palit, Ajoy K
Dewey number
519.520285
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • 16Rh0MtppRc
  • cAJ0X13dJc4
Language note
English
LC call number
Q334-342
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Popovic, Dobrivoje.
Series statement
Advances in Industrial Control,
http://library.link/vocab/subjectName
  • Artificial intelligence
  • Computer simulation
  • System safety
  • Statistics
  • Artificial Intelligence
  • Simulation and Modeling
  • Control, Robotics, Mechatronics
  • Quality Control, Reliability, Safety and Risk
  • Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Label
Computational Intelligence in Time Series Forecasting : Theory and Engineering Applications, by Ajoy K. Palit, Dobrivoje Popovic, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Computational Intelligence: An Introduction -- Traditional Problem Definition -- Basic Intelligent Computational Technologies -- Neural Networks Approach -- Fuzzy Logic Approach -- Evolutionary Computation -- Hybrid Computational Technologies -- Neuro-fuzzy Approach -- Transparent Fuzzy/Neuro-fuzzy Modelling -- Evolving Neural and Fuzzy Systems -- Adaptive Genetic Algorithms -- Recent Developments -- State of the Art and Development Trends
Dimensions
unknown
Edition
1st ed. 2005.
Extent
1 online resource (388 p.)
Form of item
online
Isbn
9786610427444
Media category
computer
Media type code
c
Other control number
10.1007/1-84628-184-9
Specific material designation
remote
System control number
  • (CKB)1000000000229247
  • (EBL)303795
  • (OCoLC)209854165
  • (SSID)ssj0000768956
  • (PQKBManifestationID)12265755
  • (PQKBTitleCode)TC0000768956
  • (PQKBWorkID)10780818
  • (PQKB)10579335
  • (SSID)ssj0000127625
  • (PQKBManifestationID)11936919
  • (PQKBTitleCode)TC0000127625
  • (PQKBWorkID)10062555
  • (PQKB)11742918
  • (DE-He213)978-1-84628-184-6
  • (MiAaPQ)EBC303795
  • (EXLCZ)991000000000229247
Label
Computational Intelligence in Time Series Forecasting : Theory and Engineering Applications, by Ajoy K. Palit, Dobrivoje Popovic, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Computational Intelligence: An Introduction -- Traditional Problem Definition -- Basic Intelligent Computational Technologies -- Neural Networks Approach -- Fuzzy Logic Approach -- Evolutionary Computation -- Hybrid Computational Technologies -- Neuro-fuzzy Approach -- Transparent Fuzzy/Neuro-fuzzy Modelling -- Evolving Neural and Fuzzy Systems -- Adaptive Genetic Algorithms -- Recent Developments -- State of the Art and Development Trends
Dimensions
unknown
Edition
1st ed. 2005.
Extent
1 online resource (388 p.)
Form of item
online
Isbn
9786610427444
Media category
computer
Media type code
c
Other control number
10.1007/1-84628-184-9
Specific material designation
remote
System control number
  • (CKB)1000000000229247
  • (EBL)303795
  • (OCoLC)209854165
  • (SSID)ssj0000768956
  • (PQKBManifestationID)12265755
  • (PQKBTitleCode)TC0000768956
  • (PQKBWorkID)10780818
  • (PQKB)10579335
  • (SSID)ssj0000127625
  • (PQKBManifestationID)11936919
  • (PQKBTitleCode)TC0000127625
  • (PQKBWorkID)10062555
  • (PQKB)11742918
  • (DE-He213)978-1-84628-184-6
  • (MiAaPQ)EBC303795
  • (EXLCZ)991000000000229247

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