Placing spline knots in neural networks using splines as activation functions.
When using feed-forward neural networks with spline activation functions, the quality of approximation depends on the knot placement of spline functions. We demonstrate a method of choosing equidistant knots in each subdivision of the space when an arbitrary initial division is given, in order to ke...
| Τόπος έκδοσης: | Neurocomputing :an international journal. 17, 3-4 (1997). |
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| Κύριος συγγραφέας: | |
| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Θέματα: |