摘要
针对船舶所处的复杂环境,以及现代船舶系统对精度的要求越来越高,提出了一种船舶信息融合结构和一种模糊神经的信息融合方法,该方法结合模糊推理和神经网络并行分布处理和自学习能力,采用三层神经网络结构,映射函数为高斯模糊隶属函数,采用改进的BP学习算法。最后通过船舶信息仿真实验,证明了该方法是可行的和有效的。
In view of the complicated environment of ships and high accuracy requirement for a ship system, a method of fuzzy - neural information fusion is proposed. The method combines fuzzy inferring and neural networks＇ parallel processing and self- learning ability. The structure of networks have three layers, the mapping function is gaussian fuzzy function, and withe the back propagation algorithm.
出处
《自动化技术与应用》
2006年第1期8-10,共3页
Techniques of Automation and Applications
