Paper available: parallel and modular multi-sieving net

[Bao-Liang Lu]

FTP-host:archive.cis.ohio-state.edu
FTP-file:pub/neuroprose/lu.multisieve.ps.Z

The following paper is now available by anonymous ftp.

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A Parallel and Modular Multi-sieving Neural Network Architecture
         for Constructive Learning 

Bao-Liang Lu        (RIKEN)
Koji Ito            (Toyohashi Univ. of Tech.; RIKEN)
Hajime Kita         (Kyoto Univ.)
Yoshikazu Nishikawa (Kyoto Univ.)

Abstract:

In this paper we present a parallel and modular multi-sieving 
neural network (PMSN) architecture for constructive learning. This PMSN
architecture is different from existing constructive learning networks 
such as the cascade correlation architecture. The constructing element 
of the PMSNs is a compound modular network rather than a hidden unit. This 
compound modular network is called a sieving module (SM). In the PMSN a 
complex learning task is docomposed into a set of relatively simple
subtasks automatically. Each of these subtasks is solved by a 
corresponding individual SM and all of these SMs are processed in parallel.

(It will appear in the Proc. of Fourth International Conference on  
Artificial Neural Networks (ANN'95), Cambridge, UK, 26-28 June 1995.
6 pages. No hard copies available.)

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