基于CMAC模型的复杂智能传感数据融合算法

提出基于CMAC模型的复杂智能传感数据融合算法,既可实现同质传感融合也可以实现异质多传感融合,成功地解决了大输入空间的存储问题,并具有实现任何映射和局部逼近的能力,具有学习速度快、收敛速度快、全局稳定的特性;并设计一个非线性参考函数模型,对所设计的融合算法进行验证与评价;介绍CMAC融合算法在通用智能多传感融合实时检测系统中的应用方法与步骤.实验结果表明:训练过的融合算法具有较高的拟合准确度、学习效率和收敛速度.

Complex intelligence multi-sensor data fusion arithmetic based on CMAC model

An arithmetic of multi-sensor data fusion based on CMAC is introduced.It can widely spread consubstantial and heterogeneous multi-sensor fusion for its high generalization ability,quick learning and convergence speed,well global stability;designed a nonlinear reference function pattern,exert the compiled CMAC fusion arithmetic to emulate fitting the nonlinear pattern;recommended the application method and steps of intelligence multi-sensor fusion real time measurement system embed CMAC fusion arithmetic.The result shows:the fusion arithmetic after training has high plot precision,quick learning and convergence speed.