The Implementation of Fuzzy RBF Neural Network on Indoor Location
The paper presents a fuzzy neural network with radial basis function (RBF) to apply on WLAN indoor location, effectively reducing the cost of indoor location, enhancing real-time indoor location, greatly improving indoor location accuracy. Through the equivalent theorem, the fuzzy inference system and the RBF neural network are combined and form a fuzzy RBF neural network system, which takes advantage of neural network to obtain suitable fuzzy rules and membership function expressions, and then outputs target coordinates by defuzzication. Finally, simulation experiments verify the feasibility and effectiveness of the fuzzy RBF neural network based WLAN indoor location method, with the location accuracy of 2.73m.