An experimental comparison of symbolic and neural learning algorithms

1998-04-23
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.

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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.