摘要
近几年来，神经网和模糊推理融合技术成功地应用在许多非线性系统的信号处理和控制。本文基于鲁棒神经网和混合模糊推理新概念，提出了融合的并行拓扑结构。这种系统可同时处理信号的非高斯噪声和模糊性。
The fusion technology of neural network and fuzzy reason has been successfully and widely used in the signal procesing and controling of nonlinear systems in recent years.This paper presents a parallel topology structure of fusion based on the new concepts of robust neural network and mixed fuzzy reason.The fusion system faces not only non-Gaussian noise but also fuzzy signal.Experimental results are provided to indicate the performance of this fusion method in the tracking system of high frequency surface wave radar.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1996年第4期41-45,共5页
Acta Electronica Sinica
