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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
2020
Highly Cited
2020
Artificial Intelligence for Detection, Estimation, and Compensation of Malicious Attacks in Nonlinear Cyber-Physical Systems and Industrial IoT
This article proposes a hybrid intelligent-classic control approach for reconstruction and compensation of cyber attacks launched… 
Highly Cited
2017
Highly Cited
2017
A Bayesian Framework for Learning Rule Sets for Interpretable Classification
We present a machine learning algorithm for building classifiers that are comprised of a small number of short rules. These are… 
Highly Cited
2011
Highly Cited
2011
IIR system identification using cat swarm optimization
Highly Cited
2007
Highly Cited
2007
On the Optimization of a Synaptic Learning Rule
This paper presents a new approach to neural modeling based on the idea of using an automated method to optimize the parameters… 
Highly Cited
2006
Highly Cited
2006
Solution of Permutation Problem in Frequency Domain ICA, Using Multivariate Probability Density Functions
Conventional Independent Component Analysis (ICA) in frequency domain inherently causes the permutation problem. To solve the… 
Highly Cited
2005
Highly Cited
2005
A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps
Highly Cited
2004
Highly Cited
2004
Active Hebbian learning algorithm to train fuzzy cognitive maps
Highly Cited
2003
Highly Cited
2003
Fuzzy Cognitive Map Learning Based on Nonlinear Hebbian Rule
Fuzzy Cognitive Map (FCM) is a soft computing technique for modeling systems. It combines synergistically the theories of neural… 
Highly Cited
1999
Highly Cited
1999
Hebbian learning and spiking neurons
A correlation-based ~‘‘Hebbian’’ ! learning rule at a spike level with millisecond resolution is formulated, mathematically… 
Highly Cited
1990
Highly Cited
1990
A new adaptive learning rule
A method for nonlinear function identification and its application to learning control are presented. The control objective is to… 
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