Spline Recurrent Neural Networks for Quad-Tree Video Coding
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Sound Synthesis by Flexible Activation Function Recurrent Neural Networks
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
An information theoretic approach to a novel nonlinear independent component analysis paradigm
Signal Processing - Special issue: Information theoretic signal processing
On Non-Uniform Rational B-Splines Surface Neural Networks
Neural Processing Letters
A robust learning algorithm for feedforward neural networks with adaptive spline activation function
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
A multilayer feedforward fuzzy neural network
TAINN'05 Proceedings of the 14th Turkish conference on Artificial Intelligence and Neural Networks
Nonlinear spline adaptive filtering
Signal Processing
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
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In this paper, a new adaptive spline activation function neural network (ASNN) is presented. Due to the ASNN's high representation capabilities, networks with a small number of interconnections can be trained to solve both pattern recognition and data processing real-time problems. The main idea is to use a Catmull-Rom cubic spline as the neuron's activation function, which ensures a simple structure suitable for both software and hardware implementation. Experimental results demonstrate improvements in terms of generalization capability and of learning speed in both pattern recognition and data processing tasks