Abstract
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.
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