نتایج جستجو برای: fuzzy estimator

تعداد نتایج: 119415  

Journal: :iranian journal of public health 0
h zeraati m mahmoudi a kazemnejad k mohammad

the gastric cancer in iran is the fourth in the general population. this study was designed to determine the five-year survival rate of gastric cancer patients, and to assess its associated factors. we analyzed the data using a time-dependent covariates model, and recommend it for analyses of similar data. 281 gastric cancer patients with adenocarcinomatous pathology who had been operated on at...

2004
A. Perez-Neira

This work addresses the problem of spatial reference estimation in mobile scenarios. Novel techniques based on fuzzy logic are introduced to enhance the performance of a trackmg system. Specifically, the model-free function approximation capability of fuzzy logic is used to obtain high resolution angle estimates from the spatial spectral density. These estimates are used to improve the resoluti...

Journal: :Journal of Intelligent and Fuzzy Systems 2006
Arash Fanaei Mohammad Farrokhi

In this paper, an adaptive control method for hybrid position/force control of robot manipulators, based on neuro-fuzzy modeling, is presented. Since the force control involves applying certain amount of force on the surface of an object, it is important to consider the friction force between the end-effector and the surface into account. In order to compensate this friction force, a robust and...

In various statistical model, such as density estimation and estimation of regression curves or hazard rates, monotonicity constraints can arise naturally. A frequently encountered problem in nonparametric statistics is to estimate a monotone density function f on a compact interval. A known estimator for density function of f under the restriction that f is decreasing, is Grenander estimator, ...

2011
Bharat Bhushan Madhusudan Singh Prem Prakash

This paper presents the dynamic performances of an indirect vector controlled induction motor (IVCIM) using a fuzzy logic (FL) based model reference adaptive control (MRAC) slip gain tuner for speed regulation in the drive. In high performance AC drives the motor speed should closely match with the specified reference speed irrespective of the variations in the load, motor parameters and model ...

2005
Abdelhafid Zeghbib Frank Palis Fethi Ben Ouezdou

Myoelectric signal (MES) is the electrical manifestation of muscular contraction. The transient part of the EMG signal, which is recorded at the surface of the skin of the forearm, has been exploited to provide the recognition of three finger movements. The objective of the paper is to describe the identification procedure, based on Transparent (interpretability) Fuzzy System and accuracy, whic...

In the restricted elliptical linear model, an approximation for the risk of a general shrinkage estimator of the regression vector-parameter is given. Superiority condition of the shrinkage estimator over the restricted estimator is investigated under the elliptical assumption. It is evident from numerical results that the shrinkage estimator performs better than the unrestricted one...

Journal: :journal of sciences, islamic republic of iran 2014
v. fakoor

kernel density estimators are the basic tools for density estimation in non-parametric statistics.  the k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in  which  the  bandwidth  is varied depending on the location of the sample points. in this paper‎, we  initially introduce the k-nearest neighbor kernel density estimator in the random left-truncatio...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه ارومیه 1377

fuzzy logic has been developed over the past three decades into a widely applied techinque in classification and control engineering. today fuzzy logic control is one of the most important applications of fuzzy set theory and specially fuzzy logic. there are two general approachs for using of fuzzy control, software and hardware. integrated circuits as a solution for hardware realization are us...

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