rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Classification and Learning Using Genetic Algorithms
    sub title: Applications in Bioinformatics and Web Intelligence
  name:
    name part: Bandyopadhyay, Sanghamitra.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Pal, Sankar K.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 311 p. 87 illus. online resource.
  abstract: This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit.
  table of contents: Genetic Algorithms -- Supervised Classification Using Genetic Algorithms -- Theoretical Analysis of the GA-classifier -- Variable String Lengths in GA-classifier -- Chromosome Differentiation in VGA-classifier -- Multiobjective VGA-classifier and Quantitative Indices -- Genetic Algorithms in Clustering -- Genetic Learning in Bioinformatics -- Genetic Algorithms and Web Intelligence.
  note: by Sanghamitra Bandyopadhyay, Sankar K. Pal.
  subject:
    topic: Computer science
  subject:
    topic: Computer programming
  subject:
    topic: Artificial intelligence
  subject:
    topic: Pattern recognition
  subject:
    topic: Bioinformatics
  subject:
    topic: Statistical physics
  subject:
    topic: Dynamical systems
  subject:
    topic: Electrical engineering
  subject:
    topic: Computer Science
  subject:
    topic: Pattern Recognition
  subject:
    topic: Programming Techniques
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Statistical Physics, Dynamical Systems and Complexity
  subject:
    topic: Computational Biology/Bioinformatics
  classification: Q337.5
  classification: TK7882.P3
  classification: 006.4
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Natural Computing Series
  identifier: 9783540496076
  identifier: http://dx.doi.org/10.1007/3-540-49607-6
  record info:
    record creation date: 100301
    record change date: 20151204173048.0
    record identifier: 978-3-540-49607-6