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Integrated CS optimization and OLS for recurrent neural network in modeling microwave thermal process

  • Tong Liu
  • Shan LiangEmail author
  • Qingyu Xiong
  • Kai Wang
Engineering Applications of Neural Networks 2018
  • 59 Downloads

Abstract

In this paper, we propose a novel hybrid algorithm to construct an improved recurrent neuron network (RNN) for modeling tunnel microwave thermal process. The new design involves a hierarchical learning process, in which the recurrent neurons of RNN are optimized by the cuckoo search (CS) algorithm, while effectiveness and efficiency of the model are guaranteed by using the orthogonal least squares (OLS) method, which is a fast approach for construction of neural networks in a stepwise forward procedure. The major contribution is to integrate seamlessly the OLS model selection and CS neuron optimization in an innovative way so that it can well track the underlying dynamic of this complicated thermal process with a very sparse model. By conducting a microwave rice drying experiment, a set of real-world datasets is used to drive the RNN model. Simulation results demonstrate the effectiveness of the proposed model compared with existing well-known approaches in terms of modeling accuracy and model compactness.

Keywords

Tunnel microwave thermal process Recurrent neuron network Cuckoo search optimization Orthogonal least squares 

Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant 61771077, the Key Research Program of Chongqing Science & Technology under Grant CSTC2017jcyjBX0025 and the UK Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/P004636/1. The authors would like to thank Y. Xiong and S. Gan for their helpful suggestions and careful reading of the manuscript.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  • Tong Liu
    • 1
    • 2
  • Shan Liang
    • 1
    • 2
    Email author
  • Qingyu Xiong
    • 1
    • 3
  • Kai Wang
    • 1
    • 2
  1. 1.Key Laboratory of Complex System Safety and Control (Ministry of Education)Chongqing UniversityChongqingChina
  2. 2.School of AutomationChongqing UniversityChongqingChina
  3. 3.School of Big Data & Software EngineeringChongqing UniversityChongqingChina

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