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 in Artificial Intelligence
  name:
    name part: Cho, Young Im.
    role:
      role term: editor.
  name:
    name part: Matson, Eric T.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 153 p. 73 illus., 12 illus. in color. online resource.
  abstract: This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a model and how successful to achieve it. This edition provides readers with the most recent progress and novel solutions in artificial intelligence. This book aims at presenting the research results and solutions of applications in relevance with artificial intelligence technologies. We propose to researchers and practitioners some methods to advance the intelligent systems and apply artificial intelligence to specific or general purpose. This book consists of 13 contributions that feature fuzzy (r, s)-minimal pre- and β-open sets, handling big coocurrence matrices, Xie-Beni-type fuzzy cluster validation, fuzzy c-regression models, combination of genetic algorithm and ant colony optimization, building expert system, fuzzy logic and neural network, individual role adaptation for team sports, application of polynomial neural networks, recursive neuro-fuzzy algorithm for water management, application of interactive genetic algorithm, and Artificial Neural Network (ANN) model. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verification. .
  table of contents: Fuzzy (r, s)-minimal preopen sets and fuzzy (r, s)-M precontinuous mappings on (r, s)-fuzzy minimal spaces -- On fuzzy (r, s)-minimal β-open sets on (r, s)-fuzzy minimal spaces -- Handling Very Large Cooccurrence Matrices in Fuzzy Co-clustering by Sampling Approaches -- Fuzzy c-Regression Models Based on Optimal Scaling of Categorical Observation with Tolerance -- Building a Knowledge Base for Expert System in Information Security -- Fuzzy logic and neural network based induction control in a diesel engine -- Evaluation and Analysis of Relationship and Individual Role Adaptation for Team Sports using SOM -- Recursive Neuro-Fuzzy Algorithm for Flow Prediction and Pump On-Off Minimization -- Logotype Design Support System Based on Sketches -- An Artificial Neural Network Based on the Architecture of the Cerebellum for Behavior Learning.
  note: edited by Young Im Cho, Eric T. Matson.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Intelligent Systems and Computing, 270
  identifier: 9783319055152
  identifier: http://dx.doi.org/10.1007/978-3-319-05515-2
  record info:
    record creation date: 140305
    record change date: 20151103125616.0
    record identifier: 978-3-319-05515-2