نتایج جستجو برای: fuzzy model namely multi adaptive neuro

تعداد نتایج: 2784906  

Journal: :رادار 0
مریم صالحی یاسر مقصودی محمودرضا صاحبی

land cover classification is one of the most important applications of polarimetric radar images, especially in urban areas. there are numerous features that can be extracted from these images for the use of their high potential, hence feature selection plays an important role in polsar image classification. in this study, three main steps are used to improve the classification: 1) feature extr...

2011
P. R. Bajaj

Image segmentation is very essential and critical to image processing and pattern recognition. In this paper, a technique for color image segmentation called ‘Adaptive Neuro-Fuzzy Color Image Segmentation (ANFIS)’ is proposed. Adaptive Neuro-Fuzzy system is used for automatic multilevel image segmentation. This system consists of multilayer perceptron (MLP) like network that performs color imag...

Determining the distribution of heavy metals in groundwater is important in developing appropriate management strategies at mine sites. In this paper, the application of artificial intelligence (AI) methods to data analysis,namely artificial neural network (ANN), hybrid ANN with biogeography-based optimization (ANN-BBO), and multi-output adaptive neural fuzzy inference system (MANFIS) to estima...

Increasing the number of cores in order to the demand of more computing power has led to increasing the processor temperature of a multi-core system. One of the main approaches for reducing temperature is the dynamic thermal management techniques. These methods divided into two classes, reactive and proactive. Proactive methods manage the processor temperature, by forecasting the temperature be...

Journal: :مدیریت آب و آبیاری 0
مرتضی نبی زاده دانش آموخته کارشناسی ارشد مهندسی منابع آب، دانشکده کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان - ایران ابوالفضل مساعدی دانشیار دانشکده منابع طبیعی و محیط زیست، دانشگاه فردوسی مشهد، مشهد – ایران امیر احمد دهقانی استادیار گروه مهندسی آب، دانشکده کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان - ایران

in recent years, use of fuzzy collection theories for modeling of hydrological phenomenon's that is including complexity and uncertainly is considered scholars. so in this research, adaptive neuro-fuzzy inference system (anfis) is used for performance of river flow forecasting process. in this research, three parameters such as raining, temperature and daily discharge of lighvanchai basin ...

Journal: :CoRR 2012
Ernesto Cortés Pérez Ignacio Algredo-Badillo Víctor Hugo García Rodríguez

Results are presented on the performance of Adaptive NeuroFuzzy Inference system (ANFIS) for wind velocity forecasts in the Isthmus of Tehuantepec region in the state of Oaxaca, Mexico. The data bank was provided by the meteorological station located at the University of Isthmus, Tehuantepec campus, and this data bank covers the period from 2008 to 2011. Three data models were constructed to ca...

Journal: :پژوهش های جغرافیای طبیعی 0
غلامعباس فلاح قالهری دانشجوی کارشناسی ارشد هواشناسی کشاورزی، دانشگاه فردوسی محمد موسوی بایگی استادیار دانشکده کشاورزی دانشگاه فردوسی مشهد مجید حبیبی نوخندان استادیار پژوهشکده هواشناسی

weather process prediction is the tool for managers to planning the future political for maximum operation. the aim of this research is relation investigation of large scale synoptically patterns with seasonal rainfall of khorasan province. in this research, we have analyzed 37 years of rainfall data in khorasan province that is located the northeastern part of iran .we attempted to train adapt...

2009
Mana Tarjoman Shaghayegh Zarei

Abstract: In this paper an application of the adaptive neuro-fuzzy inference system has been introduced to predict the behavior of a chaotic robot. The chaotic mobile robot implies a mobile robot with a controller that ensures chaotic motions. Chaotic motion is characterized by the topological transitivity and the sensitive dependence on initial conditions. We have used the controller such that...

Journal: :نشریه بین المللی چند تخصصی سرطان 0
alireza atashi najmeh nazeri ebrahim abbasi sara dorri mohsen alijani_z

introduction: the adaptive neuro-fuzzy inference system (anfis) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. in this study we used this model in breast cancer detection. methodology: a set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used.  first, the risk fact...

2012
Rajani Kumari Sandeep Kumar Vivek Kumar Sharma

Fuzzy logic controls and neuro-fuzzy controls are accustomed to increase the performance of air conditioning system. In this paper, we are trying to provide the new design air conditioning system by exploitation two logics, namely fuzzy logic and neuro-fuzzy management. This paper proposes a set of rule and uses 2 inputs specifically temperature and humidness and 4 outputs specifically compress...

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