Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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Intelligent Systems and Financial Forecasting (Paperback, Softcover reprint of the original 1st ed. 1997)
Loot Price: R2,773
Discovery Miles 27 730
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Intelligent Systems and Financial Forecasting (Paperback, Softcover reprint of the original 1st ed. 1997)
Series: Perspectives in Neural Computing
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A fundamental objective of Artificial Intelligence (AI) is the
creation of in telligent computer programs. In more modest terms AI
is simply con cerned with expanding the repertoire of computer
applications into new domains and to new levels of efficiency. The
motivation for this effort comes from many sources. At a practical
level there is always a demand for achieving things in more
efficient ways. Equally, there is the technical challenge of
building programs that allow a machine to do something a machine
has never done before. Both of these desires are contained within
AI and both provide the inspirational force behind its development.
In terms of satisfying both of these desires there can be no better
example than machine learning. Machines that can learn have an
in-built effi ciency. The same software can be applied in many
applications and in many circumstances. The machine can adapt its
behaviour so as to meet the demands of new, or changing,
environments without the need for costly re-programming. In
addition, a machine that can learn can be ap plied in new domains
with the genuine potential for innovation. In this sense a machine
that can learn can be applied in areas where little is known about
possible causal relationships, and even in circumstances where
causal relationships are judged not to exist. This last aspect is
of major significance when considering machine learning as applied
to fi nancial forecasting."
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