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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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Papers overview

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2015
2015
The delta-opioid receptor (DOR) was traditionally thought to be primarily involved in modulating the transmission of messages… 
2012
2012
Supervised local pattern discovery aims to find subsets of a database with a high statistical unusualness in the distribution of… 
2012
2012
Based on the intuition that "two objects are similar if they are related to similar objects", SimRank (proposed by Jeh and Widom… 
Highly Cited
1996
Highly Cited
1996
Our approaches in this project emphasized mainly the technical aspects of the land-systems classification problem with neural… 
1990
1990
  • T. Hrycej
  • 1990
  • Corpus ID: 40223184
In a certain two-layer network architecture, the delta learning rule leads to a self-organization of connection weights. A formal…