systems today. Applications of neural networks have made the transition from laboratory

curiosities to large, successful commercial applications. To enhance the security of automated

financial transactions, current technologies in both speech recognition and handwriting

recognition are likely ready for mass integration into financial institutions.

Computer-Aided Voice Recognition 6

The purpose of this study is to determine additional areas where artificial intelligence

technology may be applied for positive identifications of individuals during financial

transactions, such as automated banking transactions, telephone transactions , and home

banking activities. This study focuses on academic research in neur

around it. Nearby cells are given the most weight and far cells less weight.(251)

Winston, Patrick. Artificial Intelligence. Menlo Park: Addison-Wesley Publishing, 1988.

in a field; this knowledge takes the form of "if-then" rules. The problem with this approach

and their associated image-processing circuitry. The chip has circuitry that allows a professor

which letter the feature vector most closely matched. The system can learn through trial and error,

computers. In the artificial intelligence community, the proponents of expert systems

recognition to help focus investigative efforts.

along with speech that had background noise. The system then estimated the possible sound frequencies

Some common words found in the essay are:
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Approximate Word count = 3511
Approximate Pages = 14 (250 words per page double spaced)