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neurocontrol and Elastic Fuzzy Logic: Capabilities, Concepts, and Applications

机译:神经控制和弹性模糊逻辑:功能,概念和应用

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摘要

In recent years, enormous progress has been made in neurocontrol-the use of neural nets as controllers. Designs form neurocontrol can also be used with a wide variety of nonneural system. For example, this paper wills show how elastic fuzzy logic (EFL) nets make it possible to combine the capabili- ties of expert systems with the learning capabilities of neural nets at a high level. Still, ANN implementations have advantages in terms of hardware implementation., ease of use, generality, and links to the brain, which is still the only true intelligent controller available to us.
机译:近年来,在神经控制方面取得了巨大的进步-使用神经网络作为控制器。神经控制设计也可以与多种非神经系统一起使用。例如,本文将展示弹性模糊逻辑(EFL)网络如何使专家系统的功能与神经网络的学习能力在更高层次上结合起来成为可能。尽管如此,ANN实现在硬件实现,易用性,通用性和与大脑的链接方面仍然具有优势,而这仍然是我们唯一可用的真正智能控制器。

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