Artificial Intelligence

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This study
focuses on academic research in neural network technology . This study was
funded by the Banking Commission in its effort to deter fraud.

Overview

Recently, the thrust of studies into practical applications for artificial
intelligence have focused on exploiting the expectations of both expert systems
and neural network computers. In the artificial intelligence community, the
proponents of expert systems have approached the challenge of simulating
intelligence differently than their counterpart proponents of neural networks.
Expert systems contain the coded knowledge of a human expert in a field; this
knowledge takes the form of "if-then" rules. The problem with this approach is
that people don't always know why they do what they do. And even when they can
express this knowledge, it is not easily translated into usable computer code.
Also, expert systems are usually bound by a rigid set of inflexible rules which
do not change with experience gained by trail and ...

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applications. Other applications are a
multimillion dollar industry and the products are well known, like Sprint
Telephone's voice activated telephone calling system. In the Sprint system the
neural network positively recognizes the caller's voice, thereby authorizing
activation of his calling account.

The First Steps

The study of the brain was once limited to the study of living tissue. Any
attempts at an electronic simulation were brushed aside by the neurobiologist
community as abstract conceptions that bore little relationship to reality.
This was partially due to the over-excitement in the 1950's and 1960's for
networks that could recognize some patterns, but were limited in ...

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