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The Resource Artificial Neural Nets and Genetic Algorithms : Proceedings of the International Conference in Norwich, U.K., 1997, by George D. Smith, Nigel C. Steele, Rudolf F. Albrecht

Artificial Neural Nets and Genetic Algorithms : Proceedings of the International Conference in Norwich, U.K., 1997, by George D. Smith, Nigel C. Steele, Rudolf F. Albrecht

Label
Artificial Neural Nets and Genetic Algorithms : Proceedings of the International Conference in Norwich, U.K., 1997
Title
Artificial Neural Nets and Genetic Algorithms
Title remainder
Proceedings of the International Conference in Norwich, U.K., 1997
Statement of responsibility
by George D. Smith, Nigel C. Steele, Rudolf F. Albrecht
Creator
Contributor
Subject
Language
eng
Summary
This is the third in a series of conferences devoted primarily to the theory and applications of artificial neural networks and genetic algorithms. The first such event was held in Innsbruck, Austria, in April 1993, the second in Ales, France, in April 1995. We are pleased to host the 1997 event in the mediaeval city of Norwich, England, and to carryon the fine tradition set by its predecessors of providing a relaxed and stimulating environment for both established and emerging researchers working in these and other, related fields. This series of conferences is unique in recognising the relation between the two main themes of artificial neural networks and genetic algorithms, each having its origin in a natural process fundamental to life on earth, and each now well established as a paradigm fundamental to continuing technological development through the solution of complex, industrial, commercial and financial problems. This is well illustrated in this volume by the numerous applications of both paradigms to new and challenging problems. The third key theme of the series, therefore, is the integration of both technologies, either through the use of the genetic algorithm to construct the most effective network architecture for the problem in hand, or, more recently, the use of neural networks as approximate fitness functions for a genetic algorithm searching for good solutions in an 'incomplete' solution space, i.e. one for which the fitness is not easily established for every possible solution instance
Member of
Action
digitized
http://library.link/vocab/creatorName
Smith, George D
Dewey number
006.3
Illustrations
illustrations
Index
index present
Language note
English
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Steele, N. C.
  • Albrecht, Rudolf F
Series statement
SpringerComputerScience
http://library.link/vocab/subjectName
  • Computer science
  • Medical records
  • Artificial intelligence
  • Physics
  • Engineering
  • Operations research
Label
Artificial Neural Nets and Genetic Algorithms : Proceedings of the International Conference in Norwich, U.K., 1997, by George D. Smith, Nigel C. Steele, Rudolf F. Albrecht
Instantiates
Publication
Antecedent source
file reproduced from original
Bibliography note
Includes bibliographical references and index
Color
mixed
Contents
Robotics and Sensors -- ANN (Artificial Neural Networks) Architectures -- Power Systems -- Evolware -- Vision -- Speech/Hearing -- Signal/Image Processing and Recognition -- Medical Applications -- GA (Genetic Algorithms) Theory and Operators -- GA Models/Representation -- GA Applications -- Parallel GAs -- Combinatorial Optimisation -- Scheduling/Timetabling -- Telecommunications -- General and Frequency Assignment Problem -- Applications -- General Heuristics -- Evolutionary ANNs -- Reinforcement Learning -- Genetic Programming -- ANN Applications -- Sequences/Time Series -- ANN Theory, Training and Models -- Classification -- Intelligent Data Analysis/Evolution Strategies -- Coevolution and Control -- Process Control/Modelling -- Learning Classifier Systems and Prisoner's Dilemma
Control code
ocn851387631
Dimensions
unknown
Extent
1 online resource (xvi, 634 pages 384 illustrations)
File format
unknown
Form of item
online
Isbn
9783709164921
Level of compression
uncompressed
Note
SpringerLink
Quality assurance targets
unknown
Reformatting quality
access
Reproduction note
Electronic reproduction.
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)851387631
System details
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Label
Artificial Neural Nets and Genetic Algorithms : Proceedings of the International Conference in Norwich, U.K., 1997, by George D. Smith, Nigel C. Steele, Rudolf F. Albrecht
Publication
Antecedent source
file reproduced from original
Bibliography note
Includes bibliographical references and index
Color
mixed
Contents
Robotics and Sensors -- ANN (Artificial Neural Networks) Architectures -- Power Systems -- Evolware -- Vision -- Speech/Hearing -- Signal/Image Processing and Recognition -- Medical Applications -- GA (Genetic Algorithms) Theory and Operators -- GA Models/Representation -- GA Applications -- Parallel GAs -- Combinatorial Optimisation -- Scheduling/Timetabling -- Telecommunications -- General and Frequency Assignment Problem -- Applications -- General Heuristics -- Evolutionary ANNs -- Reinforcement Learning -- Genetic Programming -- ANN Applications -- Sequences/Time Series -- ANN Theory, Training and Models -- Classification -- Intelligent Data Analysis/Evolution Strategies -- Coevolution and Control -- Process Control/Modelling -- Learning Classifier Systems and Prisoner's Dilemma
Control code
ocn851387631
Dimensions
unknown
Extent
1 online resource (xvi, 634 pages 384 illustrations)
File format
unknown
Form of item
online
Isbn
9783709164921
Level of compression
uncompressed
Note
SpringerLink
Quality assurance targets
unknown
Reformatting quality
access
Reproduction note
Electronic reproduction.
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)851387631
System details
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.

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