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BP Neural Network with Regularization and Sensor Array for Prediction of Component Concentration of Mixed Gas

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Advances in Neural Networks – ISNN 2018 (ISNN 2018)

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Abstract

BP neural network with L 1 regularization is employed in this paper to solve the volatile organic compounds recognition problems. Recognition performance of neural networks is closely related to number of layers and number of nodes in each layer. The L 1 regularization makes some weights of the neural network approach zero, and helps to determine the nodes number of hidden layer in prediction of component concentrations in a gas mixture. Some rules of hidden layer node pruning are established by combining the function of regularization term, the response characteristics of sensors and composition of sensor array. The number of the hidden layer nodes determined by the pruning method gives better solution, and is close to the number of the hidden layer nodes determined by exhaustive experiments.

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Acknowledgement

The authors thank The National Natural Science Foundation of China (61574025) for financial support.

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Authors and Affiliations

  1. School of Computer Science and Technology, Dalian Neusoft University of Information, Dalian, 116023, People’s Republic of China

    Lin Zhao & Xiuyu Chen

  2. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, 116023, People’s Republic of China

    Lin Zhao & Jing Wang

Authors
  1. Lin Zhao
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  2. Jing Wang
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  3. Xiuyu Chen
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Corresponding author

Correspondence to Jing Wang .

Editor information

Editors and Affiliations

  1. Texas A&M University at Qatar, Doha, Qatar

    Tingwen Huang

  2. Sichuan University, Chengdu, China

    Jiancheng Lv

  3. Southeast University, Nanjing, China

    Changyin Sun

  4. United Institute of Informatics Problems, Minsk, Belarus

    Alexander V. Tuzikov

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Zhao, L., Wang, J., Chen, X. (2018). BP Neural Network with Regularization and Sensor Array for Prediction of Component Concentration of Mixed Gas. In: Huang, T., Lv, J., Sun, C., Tuzikov, A. (eds) Advances in Neural Networks – ISNN 2018. ISNN 2018. Lecture Notes in Computer Science(), vol 10878. Springer, Cham. https://doi.org/10.1007/978-3-319-92537-0_62

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  • DOI: https://doi.org/10.1007/978-3-319-92537-0_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92536-3

  • Online ISBN: 978-3-319-92537-0

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