Is Designing a Neural Network Application an Art or a Science? Roman Erenshteyn, Richard Foulds and Scott Galuska Introduction Both the danger and the attraction of pattern recognition problems lie in their simplicity. When investigators first approach such a problem, they may, with an easiness which borders on carelessness, utilize the methods most familiar to them; and.., they sometimes receive satisfactory results. More often, they are haunted by troubles. Only a good understanding of the problem will permit them to solve it. The quality of problem solving depends on the investigator's abilities, experience, knowledge and very often on... fertile imagination. In this paper we will discuss the problems connected with practical neural network application design. Brief Overview of Pattern Recognition Problems The history of the development of methods and approaches to pattern recognition problems is like a roller coaster. Peaks of deep interest alternate with troughs of complete indifference to theoretical and practical problems. The theory of pattern recognition developed as a branch of mathematical statistics. In the middle of the 1960s, this theory became an independent branch of cybernetics and has since continued to stir the minds of investigators. The appearance of new terminology in the following
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Is designing a neural network application an art or a science?
Erenshteyn, Roman; Foulds, Richard; Galuska, Scott
Follow ACM SIGCHI Bulletin
, Volume 26 (3)
Association for Computing Machinery – Jul 1, 1994
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