Differential Evolution Classifier with Optimized Distance Measures for the Features in the Data Sets-Reference-Cited by-同舟云学术

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Differential Evolution Classifier with Optimized Distance Measures for the Features in the Data Sets

Published:2013 Issue: Volume: Page:103-111
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Koloseni David,Lampinen Jouni,Luukka Pasi

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-32922-7_11.pdf

Reference17 articles.

1. Chauhan, N., Ravi, V., Chandra, D.K.: Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks. Expert Systems with Applications 36(4), 7659–7665 (2009)

2. Su, H., Yang, Y., Zhao, L.: Classification rule discovery with DE/QDE algorithm. Expert Systems with Applications 37(2), 1216–1222 (2010)

3. Triguero, I., Garcia, S., Herrera, F.: Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification. Pattern Recognition 44, 901–916 (2011)

4. Khushaba, R.N., Al-Ani, A., Al-Jumaily, A.: Feature subset selection using differential evolution and a statistical repair mechanism. Expert Systems with Applications 38, 11515–11526 (2011)

5. Price, K., Storn, R., Lampinen, J.: Differential Evolution - A Practical Approach to Global Optimization. Springer (2005)

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1. Solving Steel Alloying Using Differential Evolution and SOMA;Computer Information Systems and Industrial Management;2013

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