2011
DOI: 10.1016/j.asoc.2010.11.012
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Automatic revision of the control knowledge used by trial and error methods: Application to cartographic generalisation

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Cited by 6 publications
(2 citation statements)
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“…The general way to determine the optimal number of hidden layer nodes is cut and trial method. Varying the number using a cut and trial method can be useful to optimize the number of hidden layer nodes [50]. The estimated value was used as the initial value of the cut and trial method, which was obtained by Equations (6)-(9) respectively.…”
Section: Back Propagation Artificial Neural Networkmentioning
confidence: 99%
“…The general way to determine the optimal number of hidden layer nodes is cut and trial method. Varying the number using a cut and trial method can be useful to optimize the number of hidden layer nodes [50]. The estimated value was used as the initial value of the cut and trial method, which was obtained by Equations (6)-(9) respectively.…”
Section: Back Propagation Artificial Neural Networkmentioning
confidence: 99%
“…• K Revised : is a revised version of the knowledge set defined by the AGENT model expert. The knowledge set was revised off-line with the approach proposed by Taillandier (Taillandier, et al, 2011). The results obtained with this knowledge set are good both in terms of efficiency and in terms of effectiveness.…”
Section: Case Study Contextmentioning
confidence: 99%