Calculation of Ship Collision Risk Index Based on Adaptive Fuzzy Neural Network

DOI

10.2991/msam-18.2018.47How to use a DOI?

Keywords

adaptive fuzzy neural network; BP neural network; ship collision risk Index

Abstract

This paper combines adaptive fuzzy system and neural network to construct an adaptive fuzzy neural network. Using DCPA, TCPA raw data, speed (V), heading (C), angle (Q), distance (D) as the training input of the network, and comparing the learning results of BP neural network and adaptive fuzzy neural network to predict Ship collision risk index. The results show that the adaptive fuzzy neural network has good prediction results.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chunze Li
AU  - Wei Li
AU  - Jun Ning
PY  - 2018/07
DA  - 2018/07
TI  - Calculation of Ship Collision Risk Index Based on Adaptive Fuzzy Neural Network
BT  - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
PB  - Atlantis Press
SP  - 223
EP  - 227
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-18.2018.47
DO  - 10.2991/msam-18.2018.47
ID  - Li2018/07
ER  -