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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… 
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Papers overview

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2008
2008
Assembler Encoding represents Artificial Neural Network in a form of a simple program called Assembler Encoding Program. The task… 
2002
2002
An N-class problem can be fully decomposed into N-independent small neural networks called modules (or sub-problems) in a modular… 
1999
1999
Abstract: This paper describes a technique for the problem of off-line signature verification using a steerable wavelet transform… 
1998
1998
Ore grade is one of the main variables that characterise an orebody. Almost every mining project begins with the determination of… 
1997
1997
The current generation of nonmodular neural network classifiers is unable to cope with classification problems which have a wide… 
1996
1996
The current generation of non-modular neural network classi ers is unable to cope with classi cation problems which have a wide… 
1996
1996
We present an evolvable model of modular neural networks which are rich in autonomy and creativity. In order to build an… 
1995
1995
A hybrid recurrent neural network is shown to learn small initial mealy machines (that can be thought of as translation machines… 
1992
1992
Load current control circuitry including means for generating a driving signal with a predetermined duty cycle. Current control… 
1991
1991
An argument is made for the advantages of self-scaling neural network learning algorithms as opposed to fixed-topology algorithms…