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Application of Neuro-Fuzzy Systems to Behavioral Representation in Computer Generated Forces

机译:神经模糊系统在计算机产生力中的行为表示中的应用

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A new mathematical modeling technique known as soft computing is showing promise in modeling complex human behaviors. This paper will discuss the theoretical concepts of a soft computing technique, neuro-fuzzy systems. This technique has direct application to behavioral modeling of synthetic forces. Furthermore, the paper will present a specific experiment and modeling of the human operator's behavior. In the compensatory task the human has the error displayed and he attempts to null it to zero in the presence of random disturbances in the control process. Results will be presented demonstrating the validity of the hybrid modeling approach. This type of human behavior requires the modeling of perceptual, cognitive and motor processing.
机译:一种新的数学建模技术,称为软计算是在建模复杂的人类行为建模中的承诺。本文将讨论软计算技术,神经模糊系统的理论概念。该技术直接应用于合成力的行为建模。此外,本文将呈现人类运营商行为的特定实验和建模。在补偿任务中,人类的显示错误,他试图在控制过程中存在随机干扰的情况下将其无效。将提出结果,展示了混合式建模方法的有效性。这种类型的人类行为需要感知,认知和电机处理的建模。

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