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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Bibliographic Details

Published in:	Expert systems with applications Vol. 36; no. 1; pp. 519 - 526
Main Authors:	Chandana Prasad, P.W., Beg, Azam
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 2009
Subjects:	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 Access:	Get full text
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