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摘要:
Intelligent was very important for command decision model, and it was also the key to improve the quality of simulation training and combat experiment. The decision-making content was more complex in the implementation of tasks and the nature of the problem was different, so the demand for intelligence was high. To solve better the problem, this paper presented a game method and established a game neural network model. The model had been successfully applied in the classification experiment of winning rate between chess game, which had good theoretical significance and application value.
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篇名 Application of Neural Network to Game Algorithm
来源期刊 电脑和通信(英文) 学科 医学
关键词 GAME NEURAL NETWORK NETWORK TRAINING PRUNING
年,卷(期) 2018,(2) 所属期刊栏目
研究方向 页码范围 1-12
页数 12页 分类号 R73
字数 语种
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研究主题发展历程
节点文献
GAME
NEURAL
NETWORK
NETWORK
TRAINING
PRUNING
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研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
电脑和通信(英文)
月刊
2327-5219
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
783
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0
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0
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