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Knowledge Acquisition Based on Neural Networks for Performance Evaluation of Sugarcane Harvester

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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Abstract

Expertise acquisition is always the obstacle and bottleneck in the development of intelligent design system. In order to generalize and accumulate the expertise and experience of simulation analysis and experiments, the intelligent design system of sugarcane harvester is introduced. In the intelligent system of sugarcane harvester, the neural network is applied to overcome the difficulty of knowledge acquisition (KA). In this study, the application of neural network in the system is illustrated, including data predisposal, generation and management of the knowledge. An example is given to explain the application as well. The research shows using neural network can simplify the procedure of knowledge acquisition. It can also evaluate and forecast the performance of sugarcane harvester in design phrase. And it is beneficial to enhance the development success rate of the digital product and to lessen the development cost of physical prototype.

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References

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Author information

Authors and Affiliations

  1. College of Mechanical Engineering, Guangxi University, Postfach 530004, Nanning, China

    Fang-Lan Ma, Shi Liang & Shan-Shan Hu

  2. College of Mechanical Engineering, Chongqing University, Postfach 400044, Chongqing, China

    Fang-Lan Ma & Yu-Lin He

  3. Mechanical Department, Guangxi Engineering Institute, Postfach 545006, Liuzhou, China

    Shang-Ping Li

Authors
  1. Fang-Lan Ma
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  2. Shang-Ping Li
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  3. Yu-Lin He
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  4. Shi Liang
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  5. Shan-Shan Hu
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Ma, FL., Li, SP., He, YL., Liang, S., Hu, SS. (2006). Knowledge Acquisition Based on Neural Networks for Performance Evaluation of Sugarcane Harvester. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_185

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  • DOI: https://doi.org/10.1007/11760191_185

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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