Abstract:
In this paper, we study the properties of a new kind of complex domain artificial neural networks called complex adaptive spline neural networks (CASNN), which are able t...Show MoreMetadata
Abstract:
In this paper, we study the properties of a new kind of complex domain artificial neural networks called complex adaptive spline neural networks (CASNN), which are able to adapt their activation functions by varying the control points of a Catmull-Rom cubic spline. This new kind of neural network can be implemented as a very simple structure being able to improve the generalization capabilities using few training epochs. Due to its low architectural complexity this network can be used to cope with several nonlinear DSP problem at high throughput rate.
Published in: 9th European Signal Processing Conference (EUSIPCO 1998)
Date of Conference: 08-11 September 1998
Date Added to IEEE Xplore: 23 April 2015
Print ISBN:978-960-7620-06-4
Conference Location: Rhodes, Greece