Results 41 to 50 of about 24,767,335 (299)
BEHAVIOR BASED CONTROL AND FUZZY Q-LEARNING FOR AUTONOMOUS FIVE LEGS ROBOT NAVIGATION [PDF]
, 2009 This paper presents collaboration of behavior based control and fuzzy Q-learning for five legs robot navigation systems. There are many fuzzy Q-learning algorithms that have been proposed to yield individual behavior like obstacle avoidance, find target ...
Adil, Ratna
core
Applied SciencesFuzzy-based control systems have demonstrated a remarkable ability to control nonlinear processes, a characteristic commonly observed in power systems, particularly in the context of power quality enhancement.
Anca Miron +2 more
doaj +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Matrix formulation of fuzzy rule-based systems [PDF]
, 1996 In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks.
Lotfi, A, Andersen, HC, Tsoi, AC
core
Learning fuzzy inference systems using an adaptive membership function scheme [PDF]
, 1996 An adaptive membership function scheme for general additive fuzzy systems is proposed in this paper. The proposed scheme can adapt a proper membership function for any nonlinear input-output mapping, based upon a minimum number of rules and an initial ...
Tsoi A.C., Lotfi, A, Lotfi A., Tsoi, AC
core +1 more source
Цифровые модели и решенияThe article aims to develop an intelligent model for assessing and selecting suppliers in logistics based on fuzzy control technologies. Methodologically, the research rests on Mamdani's theory of fuzzy sets and logical inference, which provides the ...
Dmitry A. Karkh +2 more
doaj +1 more source
Protocol for quantifying miRNA trafficking across the endosomal membrane
FEBS Open Bio, EarlyView.An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh +2 more
wiley +1 more source
Fuzzy Control Model and Simulation for Nonlinear Supply Chain System with Lead Times
Complexity, 2017 A new fuzzy robust control strategy for the nonlinear supply chain system in the presence of lead times is proposed. Based on Takagi-Sugeno fuzzy control system, the fuzzy control model of the nonlinear supply chain system with lead times is constructed.
Songtao Zhang +3 more
doaj +1 more source
Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky +5 more
wiley +1 more source
Measurement + Control, 2019 Fuzzy control, an intelligent control method, is generally employed to deal with complex nonlinear controlled objects that cannot be expressed by accurate mathematical model.
Liu Jun +4 more
doaj +1 more source