نتایج جستجو برای: Support vector based fuzzy neural network

تعداد نتایج: 4049095  

Journal: :iranian journal of fuzzy systems 2010
fatemeh moayedi ebrahim dashti

this paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. in this method, mammograms are segmented into regions of interest (roi) in order to extract features including geometrical and contourlet coefficients. the extracted features benefit from...

Journal: :international journal of industrial mathematics 0
a. jafarian department of mathematics, urmia branch, islamic azad university, urmia, iran. s. measoomy nia department of mathematics, urmia branch, islamic azad university, urmia, iran.

this paper intends to offer a new iterative method based on arti cial neural networks for finding solution of a fuzzy equations system. our proposed fuzzi ed neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. this architecture of arti cial neural networks, can get a real input vector and calculates its corresponding fu...

سید علی عظیمی محسن شفیعی نیک آبادی

Abstract—the purpose of this paper is to compare two artificial intelligence algorithms for forecasting supply chain demand. In first step data are prepared for entering into forecasting models. In next step, the modeling step, an artificial neural network and support vector machine is presented. The structure of artificial neural network is selected based on previous researchers' results. For ...

Journal: :iranian journal of oil & gas science and technology 2013
morteza nouri taleghani sadegh saffarzadeh mina karimi khaledi ghasem zargar

porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. it is a vital factor in precise understanding of reservoir quality in a hydrocarbon field. log data are exceedingly crucial information in petroleum industries, for many of hydrocarbon parameters are obtained by virtue of petrophysical data. there are three main petrophysical...

A. Jafarian, S. Measoomy Nia

This paper intends to offer a new iterative method based on articial neural networks for finding solution of a fuzzy equations system. Our proposed fuzzied neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. This architecture of articial neural networks, can get a real input vector and calculates its corresponding fuzzy o...

Accurate simulation runoff process can have a significant role in water resources management and related issues. The inherent complexity of  this process makes difficult the use of physical and numerical models. In recent years, application of intelligent models is increased a powerful tool in hydrological modeling. The aim of this study was the application of the Gamma test to select the optim...

2017
Zhuo Yang Junjie Ba Jing Pan Yuling Yan

In this paper, the author research on electrical equipment’s fault diagnosis based on the improved support vector machine and fuzzy clustering. Combining the support vector combined fuzzy sets and neural network to carry on the fault diagnosis is a most prosperous diagnosis method. This article put forward a sample processing method using fuzzy clustering and studied the application of fuzzy co...

This paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. In this method, mammograms are segmented into regions of interest (ROI) in order to extract features including geometrical and contourlet coefficients. The extracted features benefit from...

2009
Jing Zhang

This paper consists of a survey of various engineering, computational biology, medicine, etc applications based on the fuzzy neural network model, and also a summary of the recent techniques such as still support vector machine, self-organizing map, principal component analysis. The advantage of the fuzzy neural network is that it is closer to biophysical reality and mathematically more tractab...

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