摘要
神经网络算法在信息采集和处理上具有性能优越、精度高等优点,近年来引起广泛重视。随着船舶工业向着自动化、信息化的发展,传统的船舶自动舵在操作性和可靠性上已经不能满足工业的需求。本文基于BP神经网络优化算法,设计一种新型的船舶模糊PID自动舵,并系统研究该船舶模糊PID自动舵的原理和结构组成。
Neural network algorithm has superior performance and high precision in information collection and processing. With the development of automation and information technology, the traditional ship autopilot can not meet the needs of industry. In this paper, based on the BP neural network optimization algorithm, a new fuzzy PID autopilot is designed, and the principle and structure of the fuzzy PID autopilot are studied systematically.
出处
《舰船科学技术》
北大核心
2017年第3X期105-107,共3页
Ship Science and Technology
关键词
BP神经网络
自动舵
自动化
优化算法
BP neural network
autopilot
automation
optimization algorithm
