نتایج جستجو برای: fuzzy markov model

تعداد نتایج: 2200700  

2016
R. Sharma

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In this work, we propose a hybrid controller based on game theory for robotic manipulators. The controller implements the hybrid strategy using fuzzy inference systems on a continuous time two link manipulator. We strive to formulate what may be ca...

G.R. Jalali-Naini, J. Sadjadi, N. Hamidi Fard , R. Sadeghian,

  In this paper Semi-Markov models are used to forecast the triple dimensions of next earthquake occurrences. Each earthquake can be investigated in three dimensions including temporal, spatial and magnitude. Semi-Markov models can be used for earthquake forecasting in each arbitrary area and each area can be divided into several zones. In Semi-Markov models each zone can be considered as a sta...

1996
Jae-Hoon Kim Gil Chang Kim

Recently, most of part-of-speech tagging approaches, such as rule-based, probabilistic, and neural network approaches, have shown very promising results. In this paper, we are particularly interested in probabilistic approaches, which usually require lots of training data to get reliable probabilities. We alleviate such restriction of probabilistic approaches by introducing a fuzzy network mode...

Journal: :journal of mahani mathematical research center 0
tayebe waezizadeh department of pure mathematics, faculty of mathematics and computer and mahani mathematical research center, shahid bahonar university of kerman, kerman, iran f. fatehi department of mathematics, school of mathematical and physical sciences, university of sussex, brighton, uk

in this paper at rst, a history of mathematical models is given.next, some basic information about random variables, stochastic processesand markov chains is introduced. as follows, the entropy for a discrete timemarkov process is mentioned. after that, the entropy for sis stochastic modelsis computed, and it is proved that an epidemic will be disappeared after a longtime.

Journal: :journal of medical signals and sensors 0
zahra shahvaran kamran kazemi mohammad sadegh helfroush nassin jafarian

this paper represents a new region-based active contour model that can be used to segment images with intensity non-uniformity and high level noise. the main idea of our proposed method is to use gaussian distributions with different means and variances with incorporation of intensity non-uniformity model for image segmentation. in order to integrate the spatial information between neighboring ...

2016
Yepeng Ni Jianbo Liu Shan Liu Yaxin Bai

With the rapid development of smartphones and wireless networks, indoor location-based services have become more and more prevalent. Due to the sophisticated propagation of radio signals, the Received Signal Strength Indicator (RSSI) shows a significant variation during pedestrian walking, which introduces critical errors in deterministic indoor positioning. To solve this problem, we present a ...

Journal: :Fuzzy Sets and Systems 2006
Masami Kurano Masami Yasuda Jun-ichi Nakagami Yuji Yoshida

In this paper, a Markov decision model with uncertain transition matrices, which allow a matrix to fluctuate at each step in time, is described by the use of fuzzy sets. We find a pareto optimal policy maximizing the infinite horizon fuzzy expected discounted reward over all stationary policies under some partial order. The pareto optimal policies are characterized by maximal solutions of an op...

روشنایی, قدرت اله, صادقی فر, مجید, صفری, ملیحه, ظهیری, علی,

Background and Objectives: Tuberculosis is a chronic bacterial disease and a major cause of morbidity and mortality. It is caused by a Mycobacterium tuberculosis. Awareness of the incidence and number of new cases of the disease is valuable information for revising the implemented programs and development indicators. time series and regression are commonly used models for prediction but these m...

Journal: Money and Economy 2015

The purpose of this study is to investigate the impact of exchange rate misalignment on inflation persistence. For this purpose, Vector Auto Regression method and Markov Switching model is used for quarterly data during 1989:4 -2014:3. The results show that, the impact of liquidity growth and exchange rate misalignment on inflation persistence is positive. On the other hand, GDP growth has a ne...

2015
Shyam Kute Sunil Tamhankar

Different techniques are available for the prediction of stock market. Very popular some of these are Neural Network, Data Mining, Hidden Markov Model(HMM) And Neuro-Fuzzy system. From these Neural Network and Neuro-Fuzzy Systems are the most leading machine learning techniques in stock market index prediction area. Other traditional methods do not cover all possible relation of stock price mov...

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