Neural Networks

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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
(Kh90).
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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