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针对现有背景抑制算法未能有效抑制背景而导致目标检测率低的问题,提出了一种基于模糊自适应共振理论(fuzzy adaptive resonance theory, FuzzyART)神经网络的弱小目标检测算法。首先,采用FuzzyART神经网络结合Robinson 警戒环技术,建立自适应局部空间背景模型,并以此分析像素点的背景模糊隶属度来抑制背景杂波;然后依据目标与残留背景杂波的空间特征采用模板...
In this study, a new soft-switching hybrid filter based on a neuro-fuzzy network for impulsive noisy environments is proposed. The hybrid filter was built by combining an adaptive finite impulse respo...
This paper presents an original variable gain PI (VGPI) controller for speed control of a direct torque neuro fuzzy controlled (DTNFC) induction motor drive. First, a VGPI speed controller is designed...
In this paper, two mathematical ways of building a fuzzy model of both linear and nonlinear systems are presented and compared. In order to determine a model for a nonlinear system, the phase plane is...
In this paper, based on a novel synthesis, a set of new simplified circuit design to implement the linguistic-hedge operations for adjusting the fuzzy membership function set is presented. The circ...
This contribution is a laboratory-work developed as an example of approximate (fuzzy) reasoning for students, possible to be used as a decision – support to estimate an electrical energy (EE) price fo...
A generic fuzzy logic system implementation in digital hardware is presented in this paper. The architecture developed is oriented to Application-Specific Integrated Circuits (ASICs), and its function...

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