Notice of RetractionResearch on GA-ANN Based WLAN Indoor Location Method

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Neural network optimized by genetic algorithm (GA) based WLAN indoor location method is proposed. GA based artificial neural network (GA-ANN) method can effectively reduce the storage cost, enhance real-time ability, and greatly improves the accuracy of indoor location. By analyzing the inherent shortage in neural network when applying in indoor environment, make use of genetic algorithm to encode structure parameters of neural network, and thereby increase its convergence rate, optimize its learning algorithm and enhance its generalization ability. Finally, through the simulation comparison with the neural network method, the feasibility and effectiveness of neural network optimized by genetic algorithm based indoor location method is verified, with the location accuracy 2.64 m.