Forecasting Model of Maritime Accidents Based on Influencing Factors Analysis

Dong Wang; Chao Zhong Yin; Jian Ai

doi:10.4028/www.scientific.net/AMM.253-255.1268

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 253-255Forecasting Model of Maritime Accidents Based on...

Forecasting Model of Maritime Accidents Based on Influencing Factors Analysis

Abstract:

The factors affecting the maritime accidents are complicated. Digging up the factors and finding out the inherent laws,maritime accidents can be forecast in a short-term and medium-and-long-term.The paper analyzes the factors and discusses the BP neural network modeling process of maritime accidents based on influence factors. Through the validation, the forecast model of maritime accidents is feasible.

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Periodical:

Applied Mechanics and Materials (Volumes 253-255)

Pages:

1268-1272

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.253-255.1268

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Online since:

December 2012

Authors:

Dong Wang, Chao Zhong Yin, Jian Ai

Keywords:

BP Neural Network (BPNN), Forecast, Maritime Accident

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