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Quality Prediction Model Based on Novel Elman Neural Network Ensemble
Joint Authors
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In this paper, we propose a novel prediction algorithm based on an improved Elman neural network (NN) ensemble for quality prediction, thus achieving the quality control of designed products at the product design stage.
First, the Elman NN parameters are optimized using the grasshopper optimization (GRO) method, and then the weighted average method is improved to combine the outputs of the individual NNs, where the weights are determined by the training errors.
Simulations were conducted to compare the proposed method with other NN methods and evaluate its performance.
The results demonstrated that the proposed algorithm for quality prediction obtained better accuracy than other NN methods.
In this paper, we propose a novel Elman NN ensemble model for quality prediction during product design.
Elman NN is combined with GRO to yield an optimized Elman network ensemble model with high generalization ability and prediction accuracy.
American Psychological Association (APA)
Xu, Lan& Zhang, Yuting. 2019. Quality Prediction Model Based on Novel Elman Neural Network Ensemble. Complexity،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1133368
Modern Language Association (MLA)
Xu, Lan& Zhang, Yuting. Quality Prediction Model Based on Novel Elman Neural Network Ensemble. Complexity No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1133368
American Medical Association (AMA)
Xu, Lan& Zhang, Yuting. Quality Prediction Model Based on Novel Elman Neural Network Ensemble. Complexity. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1133368
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133368