船舶碰撞危险综合评价系统的比较研究

Comparative Studies of the Different Ship Collision Risk Assessment Systems

应用模糊推理系统、神经网络系统以及基于自适应神经网络的模糊推理系统对船舶碰撞危险评价进行了研究， 并对这三种推理机制进行了比较。结果表明， 基于自适应神经网络的模糊推理系统既能表达模糊语言、利用已有的知识， 又具有前向网络的学习能力， 是一种非常有前途的评价方法。

Authors use three systems, Fuzzy Reasoning System, Neural Network System and Adaptive Network-based Fuzzy Inference System, to assess the risk of collision and analyse the differences among them. It shows that the Adaptive Network-based Fuzzy Inference System is better system for making assessment.