Based on fuzzy neural network of multi-agent data fusion

Fuzzy neural network in multi-sensor data fusion has a wide range of applications. This design based on the sensor level data fusion, then the use of multi-agent middleware to achieve secondary data fusion. Aim to solve a multi-sensor data fusion provide information inaccurate, incomplete, ambiguous or even contradictory uncertainty. Levels of fusion using fuzzy neural network ANFIS structure to obtain better accuracy. Take intelligent fire detection in the built environment for example, proved the effectiveness and feasibility of the multi-agent data fusion. © 2012 Huazhong Univ of Sci & Tec.