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Construction of Pancreatic Cancer Classifier Based on SVM Optimized by Improved FOA
Joint Authors
Ma, Xiaoqi
Zheng, Ruiping
Zhao, Di
Jiang, Huiyan
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-12
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A novel method is proposed to establish the pancreatic cancer classifier.
Firstly, the concept of quantum and fruit fly optimal algorithm (FOA) are introduced, respectively.
Then FOA is improved by quantum coding and quantum operation, and a new smell concentration determination function is defined.
Finally, the improved FOA is used to optimize the parameters of support vector machine (SVM) and the classifier is established by optimized SVM.
In order to verify the effectiveness of the proposed method, SVM and other classification methods have been chosen as the comparing methods.
The experimental results show that the proposed method can improve the classifier performance and cost less time.
American Psychological Association (APA)
Jiang, Huiyan& Zhao, Di& Zheng, Ruiping& Ma, Xiaoqi. 2015. Construction of Pancreatic Cancer Classifier Based on SVM Optimized by Improved FOA. BioMed Research International،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1056697
Modern Language Association (MLA)
Jiang, Huiyan…[et al.]. Construction of Pancreatic Cancer Classifier Based on SVM Optimized by Improved FOA. BioMed Research International No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1056697
American Medical Association (AMA)
Jiang, Huiyan& Zhao, Di& Zheng, Ruiping& Ma, Xiaoqi. Construction of Pancreatic Cancer Classifier Based on SVM Optimized by Improved FOA. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1056697
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1056697