Neural nets and alphabets: introducing students to neural networks

Authors:
K. G. Schweller;A. L. Plagman
Affiliations:
School of Science, Buena Vista College, Storm Lake, IA;School of Science, Buena Vista College, Storm Lake, IA
Venue:
ACM SIGCSE Bulletin
Year:
1989

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Abstract

Three student projects involving neural networks are described. The projects include recognizing handwritten letters of the alphabet, determining the orientation of an imaged line, and recognizing particular rooms of a house based on samples of furniture found in the rooms. All projects were run on a back propagation neural network program implemented in Modula-2. A description of the program is presented and a sample module for simulating the behavior of an OR gate is included as an appendix. The program has been successfully used in several Artificial Intelligence classes for classroom demonstrations and carrying out various cognitive science experiments.