Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Artificial Fish Swarm Algorithms

Rapid advances in information and communication technology have made ubiquitous computing and the Internet of Things popular and practicable. These applications create enormous volumes of data, which are available for analysis and classification as an aid to decision-making. Among the classification...

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Veröffentlicht in:	Mathematical problems in engineering 2015-01, Vol.2015 (2015), p.1-9
Hauptverfasser:	Lin, Kuan-Cheng, Hung, Jason C., Chen, Sih-Yang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Big Data Classification Combinatorial analysis Comparative analysis Data mining Data processing Datasets Experiments Fish Internet of Things Mathematical analysis Mathematical problems Methods Neural networks Optimization Parameter modification Search algorithms Searching Social research Statistical analysis Studies Support vector machines Swarming Ubiquitous computing
Online-Zugang:	Volltext
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