摘要： 介绍了RBF神经网络模型结构、特点及原理,并应用于船舶主尺度要素数学建模,与传统数理统计回归分析方法和BP神经网络模型相比,具有收敛速度快,精度高的优点。实践证明,该方法在船舶设计船型主尺度要素建模等复杂系统方面是实用的和可靠的。
关键词:
RBF神经网络,
MATLAB,
建模,
仿真,
预测
Abstract: A new RBF neural network is introduced and at the same time,its' structure,feature and principium are also expatiated.Contrasting with data regression and BP neural network model,it has faster convergence and better precision when it is used in the ship'sprincipal particulars math modeling. Test proves it is practical and dependable in the field of ship's main dimensions modeling and has nice applied prospect. ;;;
中图分类号:
桑松,林焰,纪卓尚. 基于神经网络的船型要素数学建模研究[J]. , 2002, 28(09): 246-248.
SANG Song, LIN Yan, JI Zhuoshang. Study of Math Modeling on Ship's Principal Particulars Based on Neural Network[J]. , 2002, 28(09): 246-248.