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Small Dataset Modeling and Application of Plant Medicine Extraction

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Cognitive Systems and Signal Processing (ICCSIP 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1006))

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Abstract

Intelligent modeling is an effective method to build prediction model of the plant medicine with ultrasonic extraction. However, there are obstacles when obtaining lots of data by the plant medicine extraction experiments, and small dataset will result in a model with low accuracy and poor generalization ability, which has a great influence on it. This paper proposes a novel virtual sample generation (VSG) approach based on Response Surface Methodology (RSM) and Extreme Learning Machine (ELM) algorithm, selecting through Cuckoo Search (CS) algorithm. The new prediction model is constructed based on ELM with the virtual sample dataset generated by this method and the original small sample dataset. The performance of the model is verified via the case of extracting the active ingredients, liquiritin, from liquorice by dual-frequency ultrasound. The experiment results show that the model established by the method proposed in this paper can significantly reduce the prediction error and improve the accuracy of the model, which provides a certain theoretical basis and reference for the industrialization of the active ingredients extraction of plant medicine.

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Acknowledgment

This work is supported by the National Natural Science Foundation of China (Grant No. 21376014).

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Authors and Affiliations

  1. Beijing University of Chemical Technology, North Third Ring Road 15, Chaoyang District, Beijing, China

    Boyan Liu, Juan Chen & Cuiying Dong

Authors
  1. Boyan Liu
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  2. Juan Chen
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  3. Cuiying Dong
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Corresponding author

Correspondence to Juan Chen .

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Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Fuchun Sun

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Huaping Liu

  3. College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, China

    Dewen Hu

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Liu, B., Chen, J., Dong, C. (2019). Small Dataset Modeling and Application of Plant Medicine Extraction. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-7986-4_34

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  • DOI: https://doi.org/10.1007/978-981-13-7986-4_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7985-7

  • Online ISBN: 978-981-13-7986-4

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