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An experimental comparison of symbolic and neural learning algorithms
Date
1998-04-23
Author
Baykal, Nazife
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In this paper comparative strengths and weaknesses of symbolic and neural learning algorithms are analysed. Experiments comparing the new generation symbolic algorithms and neural network algorithms have been performed using twelve large, real-world data sets.
Subject Keywords
Inductive learning
,
Neural networks
,
Classification
URI
https://hdl.handle.net/11511/55135
Collections
Graduate School of Informatics, Conference / Seminar
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N. Baykal, “An experimental comparison of symbolic and neural learning algorithms,” 1998, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55135.