Building Ensemble Classifier Based on Complex Network for Predicting Protein Structural Class

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In recent years, complex network models were developed to solve classification and time series prediction problems. In this paper, ensemble classifier based on complex network (mainly scale-free network) is firstly used to predict protein structural class. For the classifier design, genetic programming and particle swarm optimization algorithm are used alternately to evolve the structure and encoding parameters. The experimental results validate the good performance of the proposed method.

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Periodical:

Edited by:

Wei Deng and Qi Luo

Pages:

824-830

Citation:

P. Wu et al., "Building Ensemble Classifier Based on Complex Network for Predicting Protein Structural Class", Advanced Engineering Forum, Vols. 6-7, pp. 824-830, 2012

Online since:

September 2012

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