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Proceedings Paper

Toward the automation of developing neural network applications
Author(s): Andrew J. Czuchry
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Paper Abstract

Writing large-scale neural network software models for real-world applications is challenging. Computer-assisted model creation facilitates the development process by ensuring the accuracy of the software implementation and by relieving a programmer of a portion of the tedium of writing programs. Furthermore, a formal declarative representation for model specification allows for the application of tools for the synthesis, analysis, validation, and presentation of neural network software models.

Paper Details

Date Published: 16 September 1992
PDF: 7 pages
Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.140031
Show Author Affiliations
Andrew J. Czuchry, Georgia Tech Research Institute (United States)


Published in SPIE Proceedings Vol. 1709:
Applications of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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