Study on Optimized Elman Neural Network Classification Algorithm Based on PLS and CA
Joint Authors
Jia, Weikuan
Zhao, Dean
Zhao, Yuyan
Shen, Tian
Tang, Yuyang
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-06
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
High-dimensional large sample data sets, between feature variables and between samples, may cause some correlative or repetitive factors, occupy lots of storage space, and consume much computing time.
Using the Elman neural network to deal with them, too many inputs will influence the operating efficiency and recognition accuracy; too many simultaneous training samples, as well as being not able to get precise neural network model, also restrict the recognition accuracy.
Aiming at these series of problems, we introduce the partial least squares (PLS) and cluster analysis (CA) into Elman neural network algorithm, by the PLS for dimension reduction which can eliminate the correlative and repetitive factors of the features.
Using CA eliminates the correlative and repetitive factors of the sample.
If some subclass becomes small sample, with high-dimensional feature and fewer numbers, PLS shows a unique advantage.
Each subclass is regarded as one training sample to train the different precise neural network models.
Then simulation samples are discriminated and classified into different subclasses, using the corresponding neural network to recognize it.
An optimized Elman neural network classification algorithm based on PLS and CA (PLS-CA-Elman algorithm) is established.
The new algorithm aims at improving the operating efficiency and recognition accuracy.
By the case analysis, the new algorithm has unique superiority, worthy of further promotion.
American Psychological Association (APA)
Jia, Weikuan& Zhao, Dean& Shen, Tian& Tang, Yuyang& Zhao, Yuyan. 2014. Study on Optimized Elman Neural Network Classification Algorithm Based on PLS and CA. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-493538
Modern Language Association (MLA)
Jia, Weikuan…[et al.]. Study on Optimized Elman Neural Network Classification Algorithm Based on PLS and CA. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-493538
American Medical Association (AMA)
Jia, Weikuan& Zhao, Dean& Shen, Tian& Tang, Yuyang& Zhao, Yuyan. Study on Optimized Elman Neural Network Classification Algorithm Based on PLS and CA. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-493538
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493538