Title :
A formulation of knowledge restructuring type TAM network
Author :
Hayashi, Lsao ; Williamson, James R.
Author_Institution :
Graduate Sch. of Corp. Inf., Hannan Univ., Matsubara, Japan
Abstract :
The TAM (Topographic Attentive Mapping) network is a biologically-motivated neural network. In the TAM network algorithm, knowledge is acquired from the TAM network structure through a pruning method, and the acquired knowledge is stored in an independent module. In this paper, three measures of similarity used to compare these independent knowledge storage modules will be discussed.
Keywords :
fuzzy set theory; knowledge based systems; knowledge representation; neural nets; TAM network algorithm; biological neural network; fuzzy set theory; knowledge representation; knowledge restructuring; knowledge storage modules; pruning method; topographic attentive mapping; Artificial intelligence; Concrete; Data mining; Glass; Information entropy; Output feedback; Retina;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1244316
