摘要
给出一种新的神经网络——粗神经网络结构 ,并给出了基于粗神经网络的多传感器数据融合模型 ,阐述了用于数据融合的粗神经网络的结构和训练方法。分析和仿真结果表明 ,新模型不仅能解决传统模型所能解决的问题 。
A new data fusion model based on the rough neural network is proposed. The architecture and training method are presented. Analyses and experiments illustrate that this new model can solve not only the problem which traditional models can solve, but also the data fusion problem when the sensor′s outputs are two values or a range of values.
出处
《控制与决策》
EI
CSCD
北大核心
2001年第1期76-78,82,共4页
Control and Decision
关键词
粗神经网络
粗集理论
多传感器数据融合
rough neural network
rough set theory
multisensor data fusion
