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Neuro-Fuzzy Architectures and Hybrid Learning [Paperback]

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  • Category: Books (Medical)
  • Author:  Rutkowska, Danuta
  • Author:  Rutkowska, Danuta
  • ISBN-10:  379082500X
  • ISBN-10:  379082500X
  • ISBN-13:  9783790825008
  • ISBN-13:  9783790825008
  • Publisher:  Physica
  • Publisher:  Physica
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2010
  • Pub Date:  01-Feb-2010
  • SKU:  379082500X-11-SPRI
  • SKU:  379082500X-11-SPRI
  • Item ID: 100980599
  • List Price: $169.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 10 to Jul 12
  • Notes: Brand New Book. Order Now.
The advent of the computer age has set in motion a profound shift in our perception of science -its structure, its aims and its evolution. Traditionally, the principal domains of science were, and are, considered to be mathe? matics, physics, chemistry, biology, astronomy and related disciplines. But today, and to an increasing extent, scientific progress is being driven by a quest for machine intelligence - for systems which possess a high MIQ (Machine IQ) and can perform a wide variety of physical and mental tasks with minimal human intervention. The role model for intelligent systems is the human mind. The influ? ence of the human mind as a role model is clearly visible in the methodolo? gies which have emerged, mainly during the past two decades, for the con? ception, design and utilization of intelligent systems. At the center of these methodologies are fuzzy logic (FL); neurocomputing (NC); evolutionary computing (EC); probabilistic computing (PC); chaotic computing (CC); and machine learning (ML). Collectively, these methodologies constitute what is called soft computing (SC). In this perspective, soft computing is basically a coalition of methodologies which collectively provide a body of concepts and techniques for automation of reasoning and decision-making in an environment of imprecision, uncertainty and partial truth.The advent of the computer age has set in motion a profound shift in our perception of science -its structure, its aims and its evolution. Traditionally, the principal domains of science were, and are, considered to be mathe? matics, physics, chemistry, biology, astronomy and related disciplines. But today, and to an increasing extent, scientific progress is being driven by a quest for machine intelligence - for systems which possess a high MIQ (Machine IQ) and can perform a wide variety of physical and mental tasks with minimal human intervention. The role model for intelligent systems is the human mind. The influ? ence of the human mind alóI
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