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Learning rule

Known as: Learning (Neural Networks), Learning rule (Neural Networks) 
Learning rule or Learning process is a method or a mathematical logic which improves the artificial neural network's performance and usually this… Expand
Wikipedia

Papers overview

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2018
2018
A major goal of unsupervised learning is to discover data representations that are useful for subsequent tasks, without access to… Expand
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Highly Cited
2007
Highly Cited
2007
This paper presents a new approach to neural modeling based on the idea of using an automated method to optimize the parameters… Expand
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Highly Cited
2003
Highly Cited
2003
Fuzzy Cognitive Map (FCM) is a soft computing technique for modeling systems. It combines synergistically the theories of neural… Expand
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2000
2000
The paper describes the application of neural networks as learning rules for the training of neural networks. The learning rule… Expand
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Highly Cited
1995
Highly Cited
1995
We propose a new learning method, "Generalized Learning Vector Quantization (GLVQ)," in which reference vectors are updated based… Expand
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Highly Cited
1993
Highly Cited
1993
The problem of forming perfectly topology preserving maps of feature manifolds is studied. First, through introducing “masked… Expand
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Highly Cited
1991
Highly Cited
1991
Summary form only given, as follows. The authors discuss an original approach to neural modeling based on the idea of searching… Expand
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Highly Cited
1989
Highly Cited
1989
Abstraet--A new approach to unsupervised learning in a single-layer linear feedforward neural network is discussed. An optimality… Expand
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Highly Cited
1986
Highly Cited
1986
The fundamental principles, basic mechanisms, and formal analyses involved in the development of parallel distributed processing… Expand
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Highly Cited
1985
Highly Cited
1985
The computational power of massively parallel networks of simple processing elements resides in the communication bandwidth… Expand
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