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: Artificial Neural Networks
    sub title: A Practical Course
  name:
    name part: da Silva, Ivan Nunes.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Hernane Spatti, Danilo.
    role:
      role term: author.
  name:
    name part: Andrade Flauzino, Rogerio.
    role:
      role term: author.
  name:
    name part: Liboni, Luisa Helena Bartocci.
    role:
      role term: author.
  name:
    name part: dos Reis Alves, Silas Franco.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 307 p. 203 illus., 13 illus. in color. online resource.
  abstract: This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios. The second half is designed specifically for the production of solutions using artificial neural networks to solve practical problems arising from different areas of knowledge. It also describes the various implementation details that were taken into account to achieve the reported results. These aspects contribute to the maturation and improvement of experimental techniques to specify the neural network architecture that is most appropriate for a particular application scope. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals.
  table of contents: Introduction -- PART I – Neural Networks Architectures and Their Theoretical Aspects -- Architectures of Artificial Neural Networks and Training Processes -- Perceptron Network and Learning Rule -- Adaline Network and Delta Rule -- Multilayer Perceptron (MLP) -- Radial Basis Function (RBF) -- Recurrent Neural Topologies and Hopfield Network -- Self-Organizing Maps and Kohonen Network -- Learning Vector Quantization (LVQ) and Counter-Propagation Network -- Adaptive Resonance Theory (ART) -- Part II – Artificial Neural Networks Applications in Problems of Engineering and Applied Sciences -- Coffee Global Quality Estimation Using Multilayer Perceptron -- Computer Network Traffic Analysis Using SNMP Protocol and LVQ Network -- Forecasting Stock Market Trends Using Recurrent Network -- System for Disease Diagnosis Using ART Network -- Adulterants Patterns Identification in Coffee Powder Using Self-Organizing Maps -- Disturbances Recognition Related to Electrical Power Quality Using PMC Network -- Mobile Robot Trajectory Control Using Fuzzy System and MLP Network -- Method to Tomatoes Classification Using Computer Vision and MLP Network -- Analysis of RBF and MLP Network Performance in Pattern Classification Problems -- Solving Constrained Optimization Problems Using Hopfield Network -- Conclusion.
  note: by Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves.
  subject:
    topic: Engineering
  subject:
    topic: Data mining
  subject:
    topic: Pattern recognition
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Computational intelligence
  subject:
    topic: Electrical engineering
  subject:
    topic: Engineering
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Computational Intelligence
  subject:
    topic: Mathematical Models of Cognitive Processes and Neural Networks
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Pattern Recognition
  classification: TK1-9971
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319431628
  identifier: http://dx.doi.org/10.1007/978-3-319-43162-8
  record info:
    record creation date: 160824
    record change date: 20160824100607.0
    record identifier: 978-3-319-43162-8