Paper available: Parallel and modular Multi-sieving Neural Net

[Bao-Liang Lu]

The following paper, which was published in Proc. of 1996 IEEE 
International Conference on Systems, Man, and Cybernetics, Beijing,
China, Oct. 14-17, is available via FTP. 



FTP-host:ftp.bmc.riken.go.jp

FTP-file:/pub/publish/Lu/lu-ieee-smc96.ps.Z

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TITLE: A Parallel and Modular Multi-Sieving Neural Network
       Architecture with Multiple Control Networks

AUTHORS:
       Bao-Liang Lu (1)
       Koji Ito (2)

ORGANISATIONS:
       (1) The Institute of Physical and Chemical Research
       (2) Tokyo Institute of Technology

ABSTRACT:
We have proposed a constructive learning method called multi-sieving 
learning for implementing automatic decomposition of learning tasks 
and a parallel and modular multi-sieving network architecture in our 
previous work. In this paper we present a new parallel and modular 
multi-sieving neural network architecture to which multiple control 
networks are introduced. In this architecture the learning tasks for 
a control network is decomposed into a finite set of manageable subtasks, 
and each of the subtasks is learned by an individual control sun-network. 
An important advantage of this architecture is that the learning tasks for 
control networks can be learned efficiently, and therefore automatic 
decomposition of complex learning tasks can be achieved easily.


(6 pages. No hard copies available.)

Bao-Liang Lu
---------------------------------------------
Bio-Mimetic Control Research Center,
The Institute of Physical and Chemical Research (RIKEN)
3-8-31 Rokuban, Atsuta-ku, Nagoya 456, Japan
Phone: +81-52-654-9137
Fax: +81-52-654-9138
Email: lbl at nagoya.bmc.riken.go.jp