Translator Disclaimer
Paper
1 July 1992 Self-growing neural network architecture using crisp and fuzzy entropy
Author Affiliations +
Abstract
The paper briefly describes the self-growing neural network algorithm, CID3, which makes decision trees equivalent to hidden layers of a neural network. The algorithm generates a feedforward architecture using crisp and fuzzy entropy measures. The results for a real-life recognition problem of distinguishing defects in a glass ribbon, and for a benchmark problem of telling two spirals apart are shown and discussed.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Krzysztof J. Cios "Self-growing neural network architecture using crisp and fuzzy entropy", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); https://doi.org/10.1117/12.140154
PROCEEDINGS
14 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT


Back to Top