Abstract: To improve the effectiveness of the defense strategy of Robocup simulation robot soccer team, this paper proposes a BP neural network (BP NN) ...

Abstract: To improve the effectiveness of the defense strategy of Robocup simulation robot soccer team, this paper proposes a BP neural network (BP NN) ...

Experiment results show that the weight predication method for the weighted mean distance model using BP neural network can effectively improve the position ...

Predicting the weights of a weighted mean distance model using BP NN for robot simulated soccer ... (BP NN) method to predict the weights of weighted mean distance ...

Predicting the weights of a weighted mean distance model using BP NN for robot simulated soccerGuoyu Zuo, Xingdi Yuan, Daoxiong Gong, Chao Liang. 626-630 ...

Predicting the weights of a weighted mean distance model using BP NN for robot simulated soccer ... Log in with Facebook Log in with Google. Sign in with Apple.

Predicting the weights of a weighted mean distance model using BP NN for robot simulated soccer ... through improved peer review, with legal nonprofit status ...

model in estimating robot strengths and predicting match scores (or outcomes). This can be explained by a relatively large number of parameters (number of ...

Sep 29, 2022 · There are two reasons: First, the amount of time where the ball is in-play within a match varies greatly, and so are the intensity and distances ...

Online reinforcement learning (RL) is increasingly popular for the personalized mobile health (mHealth) intervention. It is able to personalize the type and ...