Port Cargo Throughput Forecast Based on BP Neural Network

doi:10.3969/j.issn.1006-2475.2009.10.002

Computer and Modernization ›› 2009, Vol. 1 ›› Issue (10): 4-2.doi: 10.3969/j.issn.1006-2475.2009.10.002

• 算法分析与设计 • Previous Articles Next Articles

Port Cargo Throughput Forecast Based on BP Neural Network

CHEN Ting-ting¹,CHEN Yi-yi²

1.Jiangsu Maritime Institute, Nanjing 211170, China;2.Maritime Forum, Nanjing 211100, China

Received:1900-01-01 Revised:1900-01-01 Online:2009-10-15 Published:2009-10-15

Abstract

Abstract: Forecast of port throughput is very important for port construction and layout.This thesis introduces the theories of BP Neural Network into the field of cargo throughput forecast, and sets up a threelayer neural network model with the factor influencing the cargo throughput as the input artificial neuron, and the cargo throughput as the output artificial neuron. The model achieves promptly the accurate and satisfactory results in the Nanjing cargo throughput forecast.

Key words: BP neural network, port cargo throughput, forecast

CHEN Ting-ting;CHEN Yi-yi. Port Cargo Throughput Forecast Based on BP Neural Network[J]. Computer and Modernization, 2009, 1(10): 4-2.

[1]	MAO Ming-yang, XU Sheng-chao. Continuous Attribute Discretization Algorithm of Rough Sets for BP Neural Networks Based on Particle Swarm Optimization#br# [J]. Computer and Modernization, 2023, 0(09): 115-119.
[2]	WANG Yu-li, YANG Chang-song, QIU Jing, WEI Jun, WU Hong-jie, . Prediction Method of Foundation Pit Displacement Based on Spatiotemporal Attention Mechanism#br# [J]. Computer and Modernization, 2023, 0(05): 39-45.
[3]	WANG Ying-ying, ZHUANG Yi, SUN Yi-fan. Reliability Evaluation Model of BP Neural Network Based on Particle Swarm Optimization [J]. Computer and Modernization, 2022, 0(12): 42-49.
[4]	WANG Min, XU Ying-hao, ZHU Xi-jun. Prediction Model of Diabetic Complications Based on BP Neural Network Optimized by Improved Genetic Algorithm#br# [J]. Computer and Modernization, 2022, 0(11): 69-74.
[5]	ZHOU Chang-ye, LI Cheng. Prediction of Railway Freight Volume Based on GS-LSTM Model [J]. Computer and Modernization, 2022, 0(10): 24-28.
[6]	LIU Jun, PENG Hui-xian, HUANG Bin, Tony SHAY. Breast Cancer Diagnosis Model Based on BP-GamysBoost [J]. Computer and Modernization, 2021, 0(04): 8-14.
[7]	CUI Chen-geng. Intelligent Prediction Model Based on Neural Network Algorithm #br# and Mechanism Model for Rolling Force in Tandem Cold Rolling [J]. Computer and Modernization, 2019, 0(08): 74-.
[8]	HUANG Rong1, CHEN Yu-bing1, YUE Qing2, LIU Xing-lin1, WU Ming-fen1. Construction of User Enneagram Model Based on BP Neural Network [J]. Computer and Modernization, 2019, 0(03): 1-.
[9]	JIANG Chen-yang, ZHANG Yun-fei, LI Xin. Imputation Algorithm of Continuous Missing Values Based on Temporal and Spatial Correlation [J]. Computer and Modernization, 2016, 0(9): 6-9.
[10]	HU Shuai, GU Yan, JIANG Hua. Students’ Writing Score Prediction Model Based on PCA-RBF Neural Network [J]. Computer and Modernization, 2016, 0(1): 69-72,126.
[11]	GU Quan-yu1， ZHANG Meng-ting2. BP Neural Network Algorithm Based on Frog Leaping Particle Swarm Optimization [J]. Computer and Modernization, 2015, 0(9): 57-59,65.
[12]	YANG Zheng-guang, FAN Liang-zhong. Application of Water Quality Prediction Based on MEC-BP Neural Network in Aquaculture [J]. Computer and Modernization, 2015, 0(6): 32-36.
[13]	HAO Gang， ZHUANG Yi. A Stress Measurement and Compensation Model Based on PSO-BP Neural Network [J]. Computer and Modernization, 2015, 0(6): 105-109.
[14]	YAN Bo1, ZHOU Zaijin1, LI Guohe2,3, QI Jia1. Combined Sales Prediction Model Based on ARMA and BP_AdaBoost [J]. Computer and Modernization, 2015, 0(2): 14-.
[15]	HUANG Zheng, XIAO Yan. Method of Predicting Water Level Based on Similarity Search [J]. Computer and Modernization, 2015, 0(11): 17-21.

Port Cargo Throughput Forecast Based on BP Neural Network

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments