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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… 
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Related topics

Related topics

10 relations
Artificial neural networkBackpropagationConnectionismDecision tree learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
An efficient hybrid self-learning method for stochastic cellular manufacturing problem: A queuing-based analysis
Highly Cited
2008
Highly Cited
2008
FPGA implementation of a wavelet neural network with particle swarm optimization learning
This paper introduces implementation of a wavelet neural network (WNN) with learning ability on field programmable gate array… 
Highly Cited
2005
Highly Cited
2005
Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery
In general, knowledge-intensive data mining methods exploit background knowledge to improve the quality of their results. Then… 
Highly Cited
2000
Highly Cited
2000
On-line Algorithm for Blind Signal Extraction of Arbitrarily Distributed, but Temporally Correlated Sources Using Second Order Statistics
Most of the algorithms for blind separation/extraction and independent component analysis (ICA) can not separate mixtures of… 
1994
1994
An adaptive integrated fuzzy clustering model for pattern recognition
Review
1994
Review
1994
Structure and Performance of Neural Nets in Broadband System Admission Control
This chapter1 is dedicated to the use of neural networks for the connection admission control (CAC) in Asynchronous Transfer Mode… 
Review
1992
Review
1992
PLS/neural networks
1992
1992
Evolving analog VLSI neurons
1991
1991
Back propagation with expected source values
1989
1989
Optimal learning in neural network memories
The authors examine general learning procedures for neural network associative memories and find algorithms which optimise… 
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