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: Intelligent Engineering Systems and Computational Cybernetics
  name:
    name part: Machado, J. A. Tenreiro.
    role:
      role term: editor.
  name:
    name part: Pátkai, Béla.
    role:
      role term: editor.
  name:
    name part: Rudas, Imre J.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 460 p. online resource.
  abstract: Engineering practice often has to deal with complex systems of multiple variable and multiple parameter models almost always with strong non-linear coupling. The conventional analytical techniques-based approaches for describing and predicting the behaviour of such systems in many cases are doomed to failure from the outset, even in the phase of the construction of a more or less appropriate mathematical model. The best paradigm exemplifying this situation may be the classic perturbation theory: the less significant the achievable correction, the more work has to be invested to obtain it. A further important component of machine intelligence is a kind of “structural uniformity” giving room and possibility to model arbitrary particular details a priori not specified and unknown. This idea is similar to the ready-to-wear industry, which introduced products, which can be slightly modified later on in contrast to tailor-made creations aiming at maximum accuracy from the beginning. These subsequent corrections can be carried out by machines automatically. This “learning ability” is a key element of machine intelligence. The past decade confirmed that the view of typical components of the present soft computing as fuzzy logic, neural computing, evolutionary computation and probabilistic reasoning are of complementary nature and that the best results can be applied by their combined application. Today, the two complementary branches of Machine Intelligence, that is, Artificial Intelligence and Computational Intelligence serve as the basis of Intelligent Engineering Systems. The huge number of scientific results published in Journal and conference proceedings worldwide substantiates this statement. The present book contains several articles taking different viewpoints in the field of intelligent systems.
  table of contents: Intelligent Robotics -- On-Line Trajectory Time-Scaling to Reduce Tracking Error -- Intelligent Mobile Robot Control in Unknown Environments -- Local and Remote Laboratories in the Education of Robot Architectures -- Force–Impedance Control of a Six-dof Parallel Manipulator -- Robotic Manipulators with Vibrations: Short Time Fourier Transform of Fractional Spectra -- Artificial Intelligence -- Classifying Membrane Proteins in the Proteome by Using Artificial Neural Networks Based on the Preferential Parameters of Amino Acids -- Multi-Channel Complex Non-linear Microstatistic Filters: Structure and Design -- Legal Ontologies and Loopholes in the Law -- Computational Intelligence -- Extracting and Exploiting Linguistic Information from a Fuzzy Process Model for Fed-Batch Fermentation Control -- Transformations and Selection Methods in Document Clustering -- F-Logic Data and Knowledge Reasoning in the Semantic Web Context -- Study on Knowledge and Decision Making -- CNMO: Towards the Construction of a Communication Network Modelling Ontology -- Computational Intelligence Approach to Condition Monitoring: Incremental Learning and Its Application -- An Approach for Characterising Heavy-Tailed Internet Traffic Based on EDF Statistics -- Capturing the Meaning of Internet Search Queries by Taxonomy Mapping -- Scheduling Jobs with Genetic Algorithms -- Self-Referential Reasoning in the Light of Extended Truth Qualification Principle -- Intelligent Mechatronics -- Control of Differential Mode Harmonic Drive Systems -- Intelligent Control of an Inverted Pendulum -- Tuning and Application of Integer and Fractional Order PID Controllers -- Fractional Describing Function of Systems with Nonlinear Friction -- Generalized Geometric Error Correction in Coordinate Measurement -- Systems Engineering -- Fixed Point Transformations Based Iterative Control of a Polymerization Reaction -- Reasoning in Semantic Web Services -- Defining Requirements and Applying Information Modeling for Pro…
  note: edited by J. A. Tenreiro Machado, Béla Pátkai, Imre J. Rudas.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Artificial intelligence
  subject:
    topic: System theory
  subject:
    topic: Engineering
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Computer Science
  subject:
    topic: Computer Science, general
  subject:
    topic: Engineering, general
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computing Methodologies
  subject:
    topic: Industrial and Production Engineering
  subject:
    topic: Systems Theory, Control
  classification: QA75.5-76.95
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781402086786
  identifier: http://dx.doi.org/10.1007/978-1-4020-8678-6
  record info:
    record creation date: 100301
    record change date: 20151204142453.0
    record identifier: 978-1-4020-8678-6