Calculation of Ship Collision Risk Index Based on Adaptive Fuzzy Neural Network
- 10.2991/msam-18.2018.47How to use a DOI?
- adaptive fuzzy neural network; BP neural network; ship collision risk Index
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.
- © 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/).
Cite this article
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 -