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: Recent Contributions in Intelligent Systems
  name:
    name part: Sgurev, Vassil.
    role:
      role term: editor.
  name:
    name part: Yager, Ronald R.
    role:
      role term: editor.
  name:
    name part: Kacprzyk, Janusz.
    role:
      role term: editor.
  name:
    name part: Atanassov, Krassimir T.
    role:
      role term: editor.
  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: X, 390 p. 92 illus., 23 illus. in color. online resource.
  abstract: This volume is a brief, yet comprehensive account of new development, tools, techniques and solutions in the broadly perceived “intelligent systems”. New concepts and ideas concern the development of effective and efficient models which would make it possible to effectively and efficiently describe and solve processes in various areas of science and technology. Special emphasis is on the dealing with uncertainty and imprecision that permeates virtually all real world processes and phenomena, and has to properly be modeled by formal and algorithmic tools and techniques so that they be adequate and useful. The papers in this volume concern a wide array of possible techniques exemplified by, on the one hand, logic, probabilistic, fuzzy, intuitionistic fuzzy, neuro-fuzzy, etc. approaches. On the other hand, they represent the use of such systems modeling tools as generalized nets, optimization and control models, systems analytic models, etc. They concerns a variety of approaches, from pattern recognition, image analysis, education system modeling, biological and medical systems modeling, etc.
  table of contents: Low-Level Image Processing Based on Interval-Valued Fuzzy Sets and Scale-Space Smoothing -- Generalized Net Representation of Dataflow Process Networks -- Wireless Sensor Positioning ACO Algorithm -- Time Accounting Artificial Neural Networks for Biochemical Process Models -- Periodic Time-varying Observer-based Learning Control of A/F Ratio in Multi-cylinder IC Engines -- Fuzzy T-S Model Based Design of Min-Max Control for Uncertain Nonlinear Systems -- Modeling Parallel Optimization of the Early Stopping Method of Multilayer Perceptron -- Intelligent Controls for Switched Fuzzy Systems: Synthesis via Non-standard Lyapunov Functions -- A New Architecture for an Adaptive Switching Controller Based on Hybrid Multiple T-S Models -- Optimization of Linear Objective Function under min-Probabilistic Sum Fuzzy Linear Equations Constraint -- Intuitionistic Fuzzy Logic Implementation to Assess Purposeful Model Parameters Genesis -- Dynamic Representation and Interpretation in a Multiagent 3D Tutoring System -- Generalized Net Model of the Scapulohumeral Rhythm -- Method for Interpretation of Functions of Propositional Logic by Specific Binary Markov Processes -- Generalized Net Models of Academic Promotion and Doctoral Candidature -- Modeling Telehealth Services with Generalized Nets -- State-Space Fuzzy-Neural Predictive Control -- Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests From Two to Hundred Dimensions.-Intuitionistic Fuzzy Sets Generated by Archimedean Metrics and Ultrametrics.-Production Rule and Network Structure Models for Knowledge Extraction from Complex Processes Under Uncertainty.
  note: edited by Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Krassimir T. Atanassov.
  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: Studies in Computational Intelligence, 657
  identifier: 9783319414386
  identifier: http://dx.doi.org/10.1007/978-3-319-41438-6
  record info:
    record creation date: 161028
    record change date: 20161028151101.0
    record identifier: 978-3-319-41438-6