On Design and Evaluation of Tapped-Delay Neural Network Architectures
نویسندگان
چکیده
| We address pruning and evaluation of Tapped-Delay Neural Networks for the sunspot benchmark series. It is shown that the generalization ability of the networks can be improved by pruning using the Optimal Brain Damage method of Le Cun, Denker and Solla. A stop criterion for the pruning algorithm is formulated using a modiied version of Akaike's Final Prediction Error estimate. With the proposed stop criterion the pruning scheme is shown to produce suc-cesful architectures with a high yield.
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