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Recognition of a human behavior pattern in paper rock scissor game using backpropagation artificial neural network method

机译:利用背部化人工神经网络方法识别纸岩剪刀游戏中的人类行为模式

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Artificial neural network was a information processing paradigm that took a model from the works of biological neural network in processing information hence it would have an ability which seems like human brain. Artificial neural network was able to solve some problems which contain uncertainty inside, which usually only human who could solve it. It was pattern recognition for example. The objective of this research was to find the effectiveness of backpropagation artificial neural network method to recognize human behaviour pattern in paper rock scissor game. The result were: an application using artificial neural network to recognizing human behaviour pattern in paper rock scissor game (1), an effectiveness of backpropagation artificial neural network method to recognize human behaviour pattern in paper rock scissor game (2).
机译:人工神经网络是一个信息处理范式,它采用了从生物神经网络的作品中的加工信息中的模型,因此它会有一种似乎人类大脑的能力。人工神经网络能够解决内部包含不确定性的一些问题,通常只有人类可以解决它。例如,它是模式识别。本研究的目的是找到背部化人工神经网络方法的有效性,以识别纸岩剪刀游戏中的人类行为模式。结果是:使用人工神经网络的应用,以识别纸岩剪刀游戏(1)中的人为行为模式,其造影人工神经网络方法的有效性,以识别纸岩剪刀游戏中的人类行为模式(2)。

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