An experimental comparison of symbolic and neural learning algorithms

Date

1998-04-23

Author

Baykal, Nazife

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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

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Graduate School of Informatics, Conference / Seminar

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Citation Formats

N. Baykal, “An experimental comparison of symbolic and neural learning algorithms,” 1998, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55135.