变结构模糊神经网络在信息融合中的应用

Application of Fuzzy Neural Network with Changeable Structure in Information Fusion

针对多传感器信息融合方法的复杂性和多样性问题,依据智能融合理论,采用模糊逻辑和神经网络技术,提出了一种用于机器人多传感器信息融合的变结构模糊神经网络方法,并对其进行仿真.仿真结果表明,该融合算法的有效性是一种比较实用的融合方法.

This paper uses a method of fuzzy neural networks with changeable structure to resolve the complexity and multiformity of multisensor information fusion, with the theory of intelligent fusion. The simulation results show the method is useful and practical.