نتایج جستجو برای: fuzzysupport vector machine

تعداد نتایج: 425505  

Journal: :geopersia 2014
shahoo maleki hamid reza ramazia sirvan moradi

estimation of the metal value in the metallic deposits is one of the important factors to evaluate the deposits in exploration studies andmineral processing. therefore, one accurate estimator is essential to obtain a fine insight into the accumulation of the ore body. thereare geostatistical methods for the estimation of the concentration of iron which performance of these models is complexity ...

Journal: :the modares journal of electrical engineering 2016
h. adaminejad i. shayegani m. ohammadi e. farjah

since it is essential to deliver smoothed sinusoidal voltage to the customers, diagnosing power quality (pq) events has played important role in power delivery and conversion. this diagnostic scheme should be accurate to classify pq events from other events in power system. also it should be fast enough to rapidly mitigate pq events. in this paper, an algorithm based on core vector machine (cvm...

Journal: :journal of medical signals and sensors 0
fatemeh kazemi tooraj abbasian najafabadi babak nadjar araabi

acute myelogenous leukemia (aml) is a subtype of acute leukemia, which is characterized by the accumulation of myeloid blastsin the bone marrow. careful microscopic examination of stained blood smear or bone marrow aspirate is still the most significantdiagnostic methodology for initial aml screening and considered as the first step toward diagnosis. it is time-consuming and dueto the elusive n...

Journal: :journal of medical signals and sensors 0
hassan khotanlou mahlagha afrasiabi

t his paper presents a new feature selection approach for automatically extracting   ms lesions in 3d mr images. presented method is applicable to different types of ms lesions. in this method, t1, t2 and flair images are firstly preprocessed. in the next phase, effective features to extract ms lesions are selected by using a genetic algorithm. the fitness function of the genetic algorithm is t...

Journal: :journal of medical signals and sensors 0
elham jokar mohammad mikaili

random number generation is one of the human abilities. it is proven that the sequence of random numbers generated by people do not follow full randomness criteria. these numbers produced by brain activity seem to be completely non stationary. in this paper, we show that there is a distinction between the random numbers generated by different people who provides the discrimination capability, a...

Journal: :Pattern Recognition 2017

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...

Journal: :علوم دامی ایران 0
زهرا عزیزی دانشجوی دکتری، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه تبریز حسین مرادی شهربابک استادیار، گروه علوم دامی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج محمد مرادی شهر بابک استاد، گروه علوم دامی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج عباس رأفت دانشیار، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه تبریز جلیل شجاع استاد، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه تبریز

the purpose of this research was to classify buffaloes from different areas of the two azari (west and east azarbayjan and ardabil provinces) and north (guilan province) ecotypes using support vector machine method. a total of 258 buffalo were sampled and genotyped using the axiom buffalo 90k genotyping array at the parco technologic padano lab in italy. two metric methods of cross validation a...

The use of artificial intelligence in the process of diagnosing heart disease has been considered by researchers for many years. In this paper, an efficient method for selecting appropriate features extracted from electrocardiogram (ECG) signals, based on a genetic algorithm for use in an ensemble multi-kernel support vector machine classifiers, each of which is based on an optimized genetic al...

Journal: :IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 2004

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