Title :
Internal representation of data in multilayer perceptrons with IIR synapses
Author :
Back, Andrew ; Tsoi, Ah Chung
Author_Institution :
Dept. of Electr. Eng., Queensland Univ., St. Lucia, Qld., Australia
Abstract :
Multilayer perceptrons having a dynamic synaptic structure, and the way in which data are represented in such networks are addressed. A decomposition principle that provides a clear interpretation of this type of network in terms of static and dynamic components is introduced. On the basis of this result a reduced complexity network is described
Keywords :
adaptive filters; feedforward neural nets; learning (artificial intelligence); IIR synapses; decomposition principle; dynamic components; dynamic synaptic structure; multilayer perceptrons; reduced complexity network; static components; Adaptive filters; Australia; Electronic mail; Frequency; IIR filters; Intelligent networks; Multi-layer neural network; Multilayer perceptrons; Neural networks; Neurons;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.229938
