Modular neural network

Known as: Modular neural networks 
A modular neural network is an artificial neural network characterized by a series of independent neural networks moderated by some intermediary… (More)
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Topic mentions per year

1989-2017
0204019892017

Papers overview

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2017
2017
Reinforcement learning (RL) can automate a wide variety of robotic skills, but learning each new skill requires considerable real… (More)
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2001
2001
(ABSTRACT) This dissertation explores the modular learning in artificial neural networks that mainly driven by the inspiration… (More)
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Highly Cited
1999
Highly Cited
1999
In this paper, we propose a new method for decomposing pattern classification problems based on the class relations among… (More)
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Highly Cited
1999
Highly Cited
1999
There is strong evidence that face processing in the brain is localized. The double dissociation between prosopagnosia, a face… (More)
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1996
1996
Certain real-world applications present serious challenges to conventional neural-network design procedures. Blindly trying to… (More)
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Highly Cited
1995
Highly Cited
1995
The rate of convergence of net output error is very low when training feedforward neural networks for multiclass problems using… (More)
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Highly Cited
1994
Highly Cited
1994
To investigate the relations between structure and function in both artificial and natural neural networks, we present a series… (More)
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Highly Cited
1992
Highly Cited
1992
In this thesis, a method is proposed with which good modular artificial neural network structures can be found automatically… (More)
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Highly Cited
1991
Highly Cited
1991
Previous neural network models of concept learning were mainly implemented with supervised learning schemes. However, studies of… (More)
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Highly Cited
1990
Highly Cited
1990
This paper discusses a buying and selling timing prediction system for stocks on the Tokyo Stock Exchange and analysis of intemal… (More)
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