neurocomputer

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neurocomputer

(ˈnjʊərəʊkəmˌpjuːtə)
n
(Computer Science) a type of computer designed to mimic the action of the human brain by use of an electronic neural network. Also called: neural computer
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References in periodicals archive ?
Zhukov, "Approaches and methods of learning networks of radial basis functions for solving problems of mathematical physics," Neurocomputers: Development, Application, vol.
In this particular feature, FPGA presents advantages over ASIC neurocomputers because of the decreased hardware cost and circuit development period.
"Of course, visionary dreams of bioelectronic neurocomputers and microelectronic neuroprosetheses are unavoidable and exciting, but they should not obscure the numerous practical problems."
The prototype chip is also a step toward neurocomputers.
It will take 10 to 20 years before the method can be used to make neurocomputers in the lab.
Robert Hecht-Nielsen, inventor of one of the earliest neurocomputers, defines a neural network as a computing system made up of a number of simple, highly interconnected processing elements which process information by their dynamic state responses to external inputs (Caudill |8~).
This situation, however, might change in the near future with the advent of neural networks (also called neurocomputers or neural systems).
Concern is sure to be voiced sooner or later by fundamentalist philosophers, but just as tools are extensions and force multipliers of the human arm and hand, neurocomputers are bound eventually to become extensions of the human mind.
These networks and their hardware implementations (neurocomputers) show a great deal of promise for machine vision systems because they allow the systems to understand and use sensory data input more effectively.
Such hybrid machines are indeed beginning to appear under the label of neurocomputers.
Neurocomputers are a breed of rapidly developing hardware on which artificial neural networks are trained to solve problems.