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Comparison of learning and generalization capabilities of the Kak and the Backpropagation algorithms

✍ Scribed by Praveen Raina


Book ID
107767584
Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
749 KB
Volume
81
Category
Article
ISSN
0020-0255

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## In spite of its relati¨ely slow learning speed, backpropaga-( ) tion BP is one of the most popular neural network training algorithms. Here, a method based on nonlinear stretching is presented that modifies the acti¨ation function in a BP algorithm to speed up the con¨ergence in