Title :
A biological approach to plasticity in artificial neural networks
Author :
Orlandi, G. ; Piazza, F. ; Uncini, A. ; Ascone, A.
Author_Institution :
Roma Univ., Italy
Abstract :
Using some observations on biological network plasticity, an idea is introduced to develop a procedure for varying network topology by simply pruning off connections in an initial overdimensioned fully connected network. The topology of a neural network is dynamically adapted using only the information of the learning set. The method, although it simply eliminates connections from an initial fully connected without creating new synapses, presents characteristics which can resemble certain kinds of biological behavior, such as the so-called critical period
Keywords :
artificial intelligence; biocybernetics; neural nets; plasticity; artificial neural networks; biological behavior; biological network plasticity; critical period; learning set; network topology; overdimensioned fully connected network; Artificial neural networks; Biological neural networks; Biological system modeling; Intelligent networks; Network topology; Neurons; Optimal control; Size control; Size measurement; Training data;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155399