混沌神经网络多传感器信息融合系统设计

Design of Chaotic Neural Network Multisensor Information Fusion

基于基本BP算法,引入具有全局游动性的混沌机制设计了混沌神经网络。将其用于多传感器信息融合设计了混沌神经网络多传感器信息融合系统。该系统能完善地、精确地反映检测对象,提高信息融合的质量。压力传感器数据融合系统的仿真证明了此法的有效性和优越性,系统设计简单,适合工程应用。

Based on normal BP algorithm, by introducing the chaotic mechanism , the chaotic neural network was put furword and used for the multisensor information fusion. The system can reflect the plant accurately and entirely, and improve the fusion quality. The simulation of press sensor shows the effectiveness and advantage of the design. The system is simple and suitable for engineering use.