摘要
针对船舶动力定位系统,采用神经网络来实现模糊控制的模糊化、规则推理到反模糊化的整个过程,并且采用BP算法进行网络学习;同时针对船舶的纵向运动进行了仿真、比较与分析。仿真结果表明,这种模糊神经网络对船舶的动力定位实施的可行性及有效性。
The progress of fuzzification, fuzzy inference and defuzzification is implemented with the fuzzy neural networks in dynamic positioning system. And the network study is performed by BP algorithms. The longitudinal motion is simulated and analyzed in this paper. Simulation results show that fuzzy neural network is available and valid in ship dynamic positioning system.
出处
《中国造船》
EI
CSCD
北大核心
2008年第1期35-39,共5页
Shipbuilding of China
关键词
船舶
舰船工程
模糊神经网络
动力定位
BP算法
ship engineering
fuzzy neural network
dynamic positioning system
BP algorithms
