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An empirical comparison of back propagation and the RDSE algorithm on continuously valued real world data

✍ Scribed by David McLean; Zuhair Bandar; James D. O'Shea


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
241 KB
Volume
11
Category
Article
ISSN
0893-6080

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✦ Synopsis


The ability of a neural network to generalise is dependent on how representative the training patterns were of the whole data domain, and how smoothly the network has fitted to these patterns [