Research on Improved Self-learning Method of Conveying Volume Prediction for Distribution Robot Based on Data-driven-Reference-Cited by-同舟云学术

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Research on Improved Self-learning Method of Conveying Volume Prediction for Distribution Robot Based on Data-driven

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:2023 35th Chinese Control and Decision Conference (CCDC)
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Author:

Li Dong¹,Zhang Ke²,Liu Zijin³,Huang Yanzheng⁴,Shi Huaitao¹,Zhang Shiying⁵,Sun Weifeng⁶,Liu Xiangnan⁷,Zhang Yaxin¹

Affiliation:

1. Shenyang Jianzhu University,School of Mechanical Engineering,Shenyang,China

2. Shenyang University of Technology,School of Mechanical Engineering,Shenyang,China

3. China Academy of Building Researchy,Beijing,China

4. China Construction Seventh Engineering Division Co., Ltd,Zhengzhou,China

5. Northern Heavy Industries Group Co, Lid,Shenyang,China

6. Dalian Sanchuan Construction Group Co., Ltd,Detailed Design Department,Dalian,China

7. Liaoning Anzhong Construction Technology Co., Ltd,PC Business Department,Anshan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326447/10326467/10326913.pdf?arnumber=10326913

Reference10 articles.

1. Adaptive threading strategy based on rolling characteristics analysis in hot strip rolling

2. A self-learning approach for optimal detailed scheduling of multi-product pipeline;zhang;Journal of Computational and Applied Mathematics,2018

3. Establishment of a self-learning mechanism for multi-time scale forecasting of concrete distributor transport capacity

4. Introduction to large-scale intelligent PC component automation production line;sun;China concrete and cement products,2015

5. Research on the design of concrete prefabricated components distributor;zhou;Building mechanization,2018

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