Extended Random Neural Networks

Authors:
Giuseppe Martinelli;F. M. Frattale Mascioli;M. Panella;A. Rizzi
Affiliations:
-;-;-;-
Venue:
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Year:
2002

Citing 6
Cited 0

Stability of the random neural network model

Neural Computation
Learning in the recurrent random neural network

Neural Computation
Traffic and video quality with adaptive neural compression

Multimedia Systems - Special issue on multimedia networking
Random neural networks with negative and positive signals and product form solution

Neural Computation
Improved neural heuristics for multicast routing

IEEE Journal on Selected Areas in Communications
Function approximation with spiked random networks

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Random neural networks mimic at a very deep level the biological nervous system. However, it is difficult to meet during learning the biological constraints imposed on their parameters. In the paper two possible extensions are proposed in order to remove this difficulty. Moreover, the proposed learning algorithm is tailored to the specific architecture in order to reduce the computational cost. Two architectures are considered and illustrated by simulation tests.