神经模糊系统在船舶危险度中的应用

Application of Neural Fuzzy System to Vessel Collision Risk Degree

在海上交通工程学的最新研究成果的基础上 ,提出了用一种神经模糊系统计算船舶碰撞危险度的方法 .利用人工神经网络的优势 ,将模糊系统构造成一种神经网络系统 ,可有效地解决船舶智能避碰系统中模糊规则难以获得的问题 .通过实验仿真 。

On the basis of the latest research result of marine traffic engineering, a neural fuzzy system was introduced to calculate the value of vessel collision risk degree. According to the advantages of the artificial neural network, the fuzzy system could be constructed into a new type of neural network system. By using this system some problems which were uneasy to solve by traditional fuzzy principles could be worked out easily and effectively. The result showed that the new method was more effective than the traditional method.