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ADALINE

Known as: Adaptive Linear Element, Adaptive Linear Neuron 
ADALINE (Adaptive Linear Neuron or later Adaptive Linear Element) is an early single-layer artificial neural network and the name of the physical… 
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Related topics

Related topics

10 relations
Artificial neural networkArtificial neuronEncog Machine Learning FrameworkMachine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
A New Methodology for Tracking and Instantaneous Characterization of Voltage Variations
Accurate and fast characterization of voltage variations helps to evaluate their severity on equipment and activate protections… 
2012
2012
An efficient soft-computing technique for extraction of EEG signal from tainted EEG signal
2012
2012
Predicting the BSE Sensex: Performance comparison of adaptive linear element, feed forward and time delay neural networks
Accurate prediction of financial time series (which can be considered as nonlinear systems) especially in relation to emerging… 
2010
2010
An efficient finite precision RBF-M neural network architecture using support vectors
This paper investigates the effects of using limited precision for efficient implementations of the RBF-M neural network. This… 
2006
2006
On control of HCCI combustion-neural network approach
Due to environmental consideration and recent regulations on the car emission, new technologies are explored. HCCI engine, thanks… 
2005
2005
IMPROVED FLOW FORECASTING USING ARTIFICIAL NEURAL NETWORKS
Forecasting river flow is important to water resources management and planning. In this study four artificial neural network (ANN… 
1998
1998
A new approach to monitoring electric power quality
1997
1997
Cycloaddition reactions for the synthesis of piperidine and indolizidine alkaloids
Abstract 
Review
1993
Review
1993
ARTIFICIAL NEURAL NETWORKS OF THE PERCEPTRON, MADALINE, AND BACKPROPAGATION FAMILY
Highly Cited
1988
Highly Cited
1988
MADALINE RULE II: a training algorithm for neural networks
  • R. WinterB. Widrow
  • IEEE International Conference on Neural Networks
  • 1988
  • Corpus ID: 61112014
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