Neural Networks

A neural network also known as an artificial neural network provides a
unique computing architecture whose potential has only begun to be tapped. They
are used to address problems that are intractable or cumbersome with traditional
methods. These new computing architectures are radically different from the
computers that are widely used today. ANN's are massively parallel systems that
rely on dense arrangements of interconnections and surprisingly simple
processors (Cr95, Ga93).
Artificial neural networks take their name from the networks of nerve
cells in the brain. Although a great deal of biological detail is eliminated in
these computing models, the ANN's retain enough of the ...

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structure that has large
numbers of processors and many interconnections between them. These processors
are much simpler than typical central processing units (He90). In a neural
network, each processor is linked to many of its neighbors so that there are
many more interconnections than processors. The power of the neural network
lies in the tremendous number of interconnections (Za93).
ANN's are generating much interest among engineers and scientists.
Artificial neural network models contribute to our understanding of biological
models. They also provide a novel type of parallel processing that has powerful
capabilities and potential for creative hardware implementations, meets the
demand for fast computing hardware, and provides the potential for solving
application problems (Wo96).
Neural networks excite our imagination and relentless desire to
understand the self, and in addition, equip us with an assemblage of unique
technological tools. But what has triggered the ...

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per second, in
sequence, by a single processor (He90). Neural networks, during their learning
phase, adjust parameters associated with the interconnections between neurons.
Thus, the rate of learning is dependent on the rate of interconnection updates
Neural network architectures depart from typical parallel processing
architectures in some basic respects. First, the processors in a neural network
are massively interconnected. As a result, there are more interconnections than
there are processing units (Vo94). In fact, the number of interconnections
usually far exceeds the number of processing units. State-of-the-art parallel
processing architectures typically have a smaller ...

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Neural Networks. (2008, July 25). Retrieved July 7, 2020, from
"Neural Networks.", 25 Jul. 2008. Web. 7 Jul. 2020. <>
"Neural Networks." July 25, 2008. Accessed July 7, 2020.
"Neural Networks." July 25, 2008. Accessed July 7, 2020.
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Added: 7/25/2008 10:52:52 AM
Category: Health & Medicine
Type: Premium Paper
Words: 2975
Pages: 11

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