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Placing spline knots in neural networks using splines as activation functions

✍ Scribed by Kateřina Hlaváčková; Michel Verleysen

Book ID
114296849
Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
456 KB
Volume
17
Category
Article
ISSN
0925-2312

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In this paper, we study the theoretical properties of a new kind of artificial neural network, which is able to adapt its activation functions by varying the control points of a Catmull-Rom cubic spline. Most of all, we are interested in generalization capability, and we can show that our architectu