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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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Related topics

Related topics

3 relations
AlgorithmArtificial neural network

Broader (1)

Computational neuroscience

Papers overview

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2008
2008
Modular Neural Networks in Assembler Encoding
Assembler Encoding represents Artificial Neural Network in a form of a simple program called Assembler Encoding Program. The task… 
2000
2000
Predicting corporate bankruptcy using modular neural networks
The paper reports on the use of modular neural networks for predicting corporate bankruptcy. We obtained our financial, as well… 
1999
1999
Application of a Steerable Wavelet Transform using Neural Network for Signature Verification
Abstract: This paper describes a technique for the problem of off-line signature verification using a steerable wavelet transform… 
1997
1997
CMNN: cooperative modular neural network
The current generation of nonmodular neural network classifiers is unable to cope with classification problems which have a wide… 
1996
1996
Cooperative modular neural network classifiers
The current generation of non-modular neural network classi ers is unable to cope with classi cation problems which have a wide… 
1996
1996
Modular Neural Networks
In the previous chapters we have discussed different models of neural networks—linear, recurrent, supervised, unsupervised, self… 
1996
1996
Modular neural networks evolved by genetic programming
We present an evolvable model of modular neural networks which are rich in autonomy and creativity. In order to build an… 
1995
1995
Learning and Extracting Initial Mealy Automata with a Modular Neural Network Model
A hybrid recurrent neural network is shown to learn small initial mealy machines (that can be thought of as translation machines… 
1991
1991
Self organizing modular neural networks
An argument is made for the advantages of self-scaling neural network learning algorithms as opposed to fixed-topology algorithms… 
Highly Cited
1989
Highly Cited
1989
A modular neural network architecture for sequential paraphrasing of script-based stories
Sequential recurrent neural networks have been applied to a fairly high-level cognitive task, i.e. paraphrasing script-based… 
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