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: Soft Computing for Recognition Based on Biometrics
  name:
    name part: Melin, Patricia.
    role:
      role term: editor.
  name:
    name part: Kacprzyk, Janusz.
    role:
      role term: editor.
  name:
    name part: Pedrycz, Witold.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 456 p. 233 illus., 145 illus. in color. online resource.
  abstract: We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algo-rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject.
  table of contents: Classification Algorithms and Applications -- Soft Computing Approaches to the Problem of Infant Cry Classification with Diagnostic Purposes -- Neural Networks and SVM-Based Classification of Leukocytes Using the Morphological Pattern Spectrum -- Hybrid System for Cardiac Arrhythmia Classification with Fuzzy K-Nearest Neighbors and Neural Networks Combined by a Fuzzy Inference System -- A Comparative Study of Blog Comments Spam Filtering with Machine Learning Techniques -- Distributed Implementation of an Intelligent Data Classifier -- Pattern Recognition -- Modular Neural Network with Fuzzy Integration and Its Optimization Using Genetic Algorithms for Human Recognition Based on Iris, Ear and Voice Biometrics -- Comparative Study of Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions -- Modular Neural Network for Human Recognition from Ear Images Using Wavelets -- Modular Neural Networks for Person Recognition Using the Contour Segmentation of the Human Iris Biometric Measurement -- Real Time Face Identification Using a Neural Network Approach -- Comparative Study of Feature Extraction Methods of Fuzzy Logic Type 1 and Type-2 for Pattern Recognition System Based on the Mean Pixels -- Optimization Methods -- Application of the Bee Swarm Optimization BSO to the Knapsack Problem -- An Approach Based on Neural Networks for Gas Lift Optimization -- A New Evolutionary Method with Particle Swarm Optimization and Genetic Algorithms Using Fuzzy Systems to Dynamically Parameter Adaptation -- Local Survival Rule for Steer an Adaptive Ant-Colony Algorithm in Complex Systems -- Using Consecutive Swaps to Explore the Insertion Neighborhood in Tabu Search Solution of the Linear Ordering Problem -- A New Optimization Method Based on a Paradigm Inspired by Nature -- Theory and Algorithms -- Improvement of the Backpropagation Algorithm Using (1+1) Evolutionary Strategies -- Parallel Genetic Algorithms for Architecture Optimization of Neural Net…
  note: edited by Patricia Melin, Janusz Kacprzyk, Witold Pedrycz.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Biometrics (Biology)
  subject:
    topic: Engineering design
  subject:
    topic: Engineering
  subject:
    topic: Engineering Design
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Biometrics
  classification: TA174
  classification: 620.0042
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 312
  identifier: 9783642151118
  identifier: http://dx.doi.org/10.1007/978-3-642-15111-8
  record info:
    record creation date: 100929
    record change date: 20151204162655.0
    record identifier: 978-3-642-15111-8