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Zhou Yu
Henan Institute of Science and Technology

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Support Vector Machine Optimized by Improved Genetic Algorithm Xiang Chang Sheng; Zhou Yu; Xilong Qu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Parameters of support vector machines (SVM) which is optimized by standard genetic algorithm is easy to trap into the local minimum, in order to get the optimal parameters of support vector machine, this paper proposed a parameters optimization method for support vector machines based on improved genetic algorithm, the simulation experiment is carried out on 5 benchmark datasets. The simulation show that the proposed method not only can assure the classification precision, but also can reduce training time markedly compared with standard genetic algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3182
Automatic Detection and Processing of Attributes Inconsistency for Fuzzy Ontologies Merging Yonghong Luo; Zhou Yu; Yanhao Zhuang; Zhaopeng Zheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Semantic fusion of multiple data sources and semantic interoperability between heterogeneous systems in distributed environment can be implemented through integrating multiple fuzzy local ontologies. However, ontology merging is one of the valid ways for ontology integration. In order to solve the problem of attributes inconsistency for concept mapping in fuzzy ontology merging system, we present an automatic detection algorithm of inconsistency for the range, number and membership grade of attributes between mapping concepts, and adopt corresponding processing strategy during the fuzzy ontologies merging according to the different types of attributes inconsistency. Experiment results show that with regard to merging accuracy, the fuzzy ontology merging system in which the automatic detection algorithm and processing strategy of attributes inconsistency is embedded is better than those traditional ontology merging systems like GLUE, PROMPT and Chimaera.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3490
Co-Authors Xiang Chang Sheng Xilong Qu Yanhao Zhuang Yonghong Luo Zhaopeng Zheng