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Delta rule

In machine learning, the delta rule is a gradient descent learning rule for updating the weights of the inputs to artificial neurons in a single… 
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Related topics

Related topics

8 relations
Activation functionBackpropagationCatastrophic interferenceFeedforward neural network

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Neural Functions of the Delta-Opioid Receptor
The delta-opioid receptor (DOR) was traditionally thought to be primarily involved in modulating the transmission of messages… 
2015
2015
Impact of wind farms on disturbance detection and classification in distributed generation using modified Adaline network and an adaptive neuro-fuzzy information system
2012
2012
An enhanced relevance criterion for more concise supervised pattern discovery
Supervised local pattern discovery aims to find subsets of a database with a high statistical unusualness in the distribution of… 
2012
2012
Delta-SimRank computing on MapReduce
Based on the intuition that "two objects are similar if they are related to similar objects", SimRank (proposed by Jeh and Widom… 
2004
2004
Universal Approximator Employing Neo-Fuzzy Neurons
A novel fuzzy neural network, called Fuzzy Kolmogorov’s Network (FKN), is considered. The network consists of two layers of neo… 
1999
1999
A modified model of the Hebbian synapse and its role in motor learning
1998
1998
Aspects of network training and validation on noisy data - Part 1. Training aspects
Highly Cited
1996
Highly Cited
1996
Mapping Ecological Land Systems and Classification Uncertainties from Digital Elevation and Forest-Cover Data Using Neural Networks
Our approaches in this project emphasized mainly the technical aspects of the land-systems classification problem with neural… 
1993
1993
Divide and Conquer Neural Networks
1993
1993
Hierarchical artificial neural networks for edge enhancement
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