Analysis of logistics cargo turnover prediction based on artificial neural network-Reference-Cited by-同舟云学术

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Analysis of logistics cargo turnover prediction based on artificial neural network

Published:2024-01-19 Issue: Volume:32 Page:1002-1005
ISSN:
Container-title:2024 4th International Conference on Neural Networks, Information and Communication (NNICE)
language:
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Author:

Pan Yanfang¹,Xiong Huan¹,Wang Shiyu²,Lou Benxiao¹,Liu Bote³,Chen Jianqiu⁴,Gu Guobin¹

Affiliation:

1. Nanning University,College of Traffic and Transportation,Nanning,China

2. Guilin University of Electronic Technology,School of Architecture and Transportation Engineering,Guilin,China

3. Central South University,School of Traffic & Transportation Engineering,Changsha,China

4. Nanning University,Guangxi Key Laboratory of International Join for China-ASEAN Comprehensive Transportation,Nanning,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498130/10498125/10499022.pdf?arnumber=10499022

Reference10 articles.

1. The Capacity Study of Dry Port Based on the Prediction Model of Neural Network in Jinan;Meng

2. Median-Pi artificial neural network for forecasting

3. The Training of Pi-Sigma Artificial Neural Networks with Differential Evolution Algorithm for Forecasting

4. Z-transform artificial neural networks

5. Port Cargo Throughput Forecasting Based On Combination Model;Chen

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