Title :
Neural networks with self-adaptive topology
Author :
Marchesi, M. ; Orlandi, G. ; Piazza, F. ; Uncini, A.
Author_Institution :
Dept. of Electron. & Autom., Ancona Univ., Italy
Abstract :
A method is presented to dynamically adapt the topology of a neural network using only the information of the learning set. The method, which simply consists of eliminating connections from an initial fully connected network, presents characteristics which can resemble some biological behavior. Several experimental results obtained with recurrent and multilayered networks are reported to demonstrate the capabilities of the proposed method
Keywords :
learning systems; network topology; neural nets; self-adjusting systems; biological behavior; learning; multilayered networks; neural network; recurrent networks; self-adaptive topology; Artificial neural networks; Biological system modeling; Circuit topology; Multilayer perceptrons; Network topology; Neural networks; Neurons; Optimal control; Size control;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176034
