Investigating data preprocessing methods for circuit complexity models

Preprocessing the data is an important step while creating neural network (NN) applications because this step usually has a significant effect on the prediction performance of the model. This paper compares different data processing strategies for NNs for prediction of Boolean function complexity (B...

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Veröffentlicht in:	Expert systems with applications Jg. 36; H. 1; S. 519 - 526
Hauptverfasser:	Chandana Prasad, P.W., Beg, Azam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 2009
Schlagworte:	Boolean function complexity Computer-aided design Data preprocessing Feed-forward neural network Machine learning Pattern recognition Feed-forward neural network Pattern recognition Computer-aided design Data preprocessing Boolean function complexity Machine learning
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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