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Owing to the uncertainty in determining the parameters used in unscented transformation which is the main procedure of Unscented Kalman Filter (UKF), we propose a learning method using BP neural network to optimize them adaptively. The experiments were performed on three methods, and the results show that the proposed learning method is better than traditional UKF algorithm, and the precision has...
To improve the effectiveness of the defense strategy of Robocup simulation robot soccer team, this paper proposes a BP neural network (BP NN) method to predict the weights of weighted mean distance model. The weighted mean distance model is first introduced into the defense strategy of one robot soccer team. A BP neural network model is then built to modify the weights of the weighted mean distance...
A two-agent collaborative shooting method based on BP neural network was proposed to improve the shooting success rate. In this method, the two players, an assistant player and a shooter, perform a shooting behavior collaboratively using the position relationships among the assistant player, the shooter and the goal. The three shooting parameters, the assistant's passing speed and passing angle and...
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