ABSTRACT Current neural network technology is the most progressive of the artificial intelligence 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. RESEARCH PROJECT TABLE OF CONTENTS Introduction 1 Purpose 1 Source of Information 1 Authorization 1 Overview 2 The First Steps 3 Computer-Synthesized Senses 4 Visual …showed first 75 words of 2755 total…

…showed last 75 words of 2755 total…Intelligence. Menlo Park: Addison-Wesley Publishing, 1988. Welstead, Stephen. Neural Network and Fuzzy Logic in C/C++. New York: Welstead, 1994. Brody, Herb. "Computers That Learn by Doing." Technology Review August 1990: 42-49. Thompson, William. "Overturning the Category Bucket." BYTE January 1991: 249-50+. Hinton, Geoffrey. "How Neural Networks Learn from Experience." Scientific American September 1992: 145-151. Dreyfus, Hubert., and Stuart E. Dreyfus. "Why Computers May Never Think Like People." Technology Review January 1986: 42-61. Shaffer, Richard. "Computers with Ears." FORBES September 1994: 238-239.