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A computation-efficient on-line training algorithm for neurofuzzy networks

✍ Scribed by Chan, C. W.; Cheung, K. C.; Yeung, W. K.


Book ID
126629017
Publisher
Taylor and Francis Group
Year
2000
Tongue
English
Weight
283 KB
Volume
31
Category
Article
ISSN
0020-7721

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Adaptive stepsize algorithms for on-line
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In this paper a method for adapting the stepsize in on-line network training is presented. The proposed technique derives from the stochastic gradient descent proposed by Almeida et al. [On-line Learning in Neural Networks, 111-134, Cambridge University Press, 1998]. The new aspect of our approach c