Books > Science & Mathematics > Mathematics > Applied mathematics > Fuzzy set theory
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Neuro-Fuzzy Architectures and Hybrid Learning (Hardcover, 2002 ed.)
Loot Price: R4,324
Discovery Miles 43 240
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Neuro-Fuzzy Architectures and Hybrid Learning (Hardcover, 2002 ed.)
Series: Studies in Fuzziness and Soft Computing, 85
Expected to ship within 12 - 17 working days
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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."
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