Neuro-fuzzy Model for In-circuit Control Systems

Sergey M. Morozov, M. Kupriyanov
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Abstract

Embedded systems development is a very important area. Devices must provide specific electrical signals. In-circuit control system is able to increase the quality of output or in-circuit signals, which is essential for devices in specific areas. Neuro-fuzzy systems provide an intellectual baseline for developing effective subsystems for signals’ control. Neuro-fizzy model for establishing in-circuit control is provided.
在线控制系统的神经模糊模型
嵌入式系统开发是一个非常重要的领域。设备必须提供特定的电信号。在线控制系统能够提高输出或在线信号的质量,这对于特定领域的设备是必不可少的。神经模糊系统为开发有效的信号控制子系统提供了智能基线。给出了建立在线控制的神经气泡模型。
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