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: Bio-Inspired Technologies for the Hardware of Adaptive Systems
    sub title: Real-World Implementations and Applications
  name:
    name part: Negoita, Mircea Gh.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Hintea, Sorin.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 186 p. online resource.
  abstract: Evolvable Hardware (EHW) has emerged as a novel and highly diversified bio- inspired technology and paradigm supporting the design, analysis and deployment of the high performance intelligent systems. EHW is a special case of the adaptive hardware, namely being strongly related to the Adaptive Systems (AS) and the Adaptive Hardware (AH). The discipline of EHW brings together hardware implementation of the main technologies of CI including fuzzy sets, neural networks, and evolutionary optimization. EHW systems also cover novel areas as Artificial Immune Systems and DNA computing. The strength of EHW hinges on the synergy between these technologies supported by the advanced analogue and digital programmable circuits. The advanced programmable circuits confer the suitable hardware environment for a CI implementation from day to day more close to the intelligence of a human being. The authoritative coverage of the area is performed through a clear and well-organized way of presenting the fundamentals of key methods. The book presents in a thorough way almost an entire range of EHW/AH intelligent systems, and what is very important for practitioners, it also provides several real-life, working, implementations of EHW/AH systems. As a result the book can serve as a valuable introduction to EHW/AH intelligent systems, and as a guide of how to use them for solving real problems. As such it has a good chance of becoming one of the most cited references in the area.
  table of contents: Bio-Inspired Computational Intelligence for the Hardware of Adaptive Systems -- Advanced Hardware Implementation of the Computational Intelligence and Intelligent Technologies -- Bio-Inspired Analogue and Digital Circuits and Their Applications.
  note: by Mircea Gh. Negoita, Sorin Hintea.
  subject:
    topic: Computer science
  subject:
    topic: Computer hardware
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering design
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Engineering Design
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Computer Hardware
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 179
  identifier: 9783540769958
  identifier: http://dx.doi.org/10.1007/978-3-540-76995-8
  record info:
    record creation date: 100301
    record change date: 20151204163304.0
    record identifier: 978-3-540-76995-8