Title :
A study on with the bottom-up and the top-down procedure in hierarchical neural networks
Author :
Iwasaki, Masahiro ; Hashiyama, Tomonori ; Okuma, Shigeru
Author_Institution :
Dept. of Electron., Nagoya Univ., Japan
Abstract :
This paper presents a new framework for hierarchical neural networks. It is based on the interaction between bottom-up and topdown procedure to realize human-like cognitive processes. The proposed system consists of 3 layers, input layer, feature extraction layer and symbol layer. Input layer is a kind of associative memory and associate by itself. When the association fails, feature extraction through bottom-up procedure and attention to the parts of input pattern through top-down procedure make it possible to associate target pattern. Some simulation results show the feasibility of proposed system
Keywords :
associative processing; content-addressable storage; feature extraction; hierarchical systems; neural nets; associative memory; cognitive processes; feature extraction; feature extraction layer; hierarchical neural networks; input layer; symbol layer; Biological neural networks; Electronic mail; Electronics industry; Feature extraction; Humans; Industrial electronics; Intelligent networks; Neural networks; Neurons; Working environment noise;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.637318
