نتایج جستجو برای: adaptive nero fuzzy inference system

تعداد نتایج: 2496338  

Journal: :مدیریت فناوری اطلاعات 0
ایمان رئیسی وانانی استادیار مدیریت صنعتی، دانشکدۀ مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران فاطمه گنجعلی خان حاکمی کارشناس‎ارشد، مدیریت فناوری اطلاعات، دانشکدۀ مدیریت، دانشگاه تهران، تهران، ایران

the main goal of research is designing an adaptive nuero-fuzzy inference system for evaluating the implementation of business intelligence systems in software industry. iranian software development organizations have been facing a lot of problems in case of implementing business intelligence systems. this system would be helpful in recognizing the conditions and prerequisites of success or fail...

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...

2017
Pawanpreet Kaur Harshdeep Trehan

The real world Parkinson’s disease (PD) is a chronic progressive neurological disease that affects a small area of nerve cells called neurons in the area of the brain called the substantia nigra. Medical Expert System technique is a solution of this problem. This paper summarizes regarding the classification of Parkinson’s disease by using adaptive neuro-fuzzy inference engines. The learning fo...

In conventional power systems, frequency and voltage deviations are chosen as indexes for characterizing conventional power system security. While  in an autonomous micro grid with Electronically Interfaced Distributed Generation (EIDG), frequency and voltage deviations  against power and loads disturbances perfectly controlled by f-P and V-Q controller. Unlike conventional power syst...

Journal: :journal of health management and informatics 0
jamshid nourozi mitra mahdavi mazdeh seyed ahmad mirbagheri

introduction: kidney disease is a major public health challenge worldwide. epidemiologic data suggest a significant relationship between underlying diseases and decrease in glomerular filtration rate (gfr). clinical studies and laboratory research have shown that the mentioned parameter is effective in development and progression of the renal disease per se. in this study, we used learning-base...

Journal: :iranian journal of fuzzy systems 2008
c. kezi selva vijiila p. kanagasabapathy

in this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (anfis) for canceling maternal electrocardiogram (mecg) in fetal electrocardiogram extraction (fecg).this technique is used to estimate the mecg present in the abdominal signal of a pregnant woman. the fecg is then extracted by subtracting the estimated mecg from the abdominal signal. p...

Journal: :international journal of smart electrical engineering 2013
saber ghadri shahram javadi fardad farokhi

today, dc motors is still being used globally due to their easy speed controllability. in this article, an adaptive neuro-fuzzy inference system (anfis) controller is designed for dc motors. the main purpose of performing such task is to reduce the dc motor starting current and deleting the ripple current during starting time in considering control parameters such as: rise time, settling time, ...

Journal: :IOP Conference Series: Materials Science and Engineering 2021

2001
Ajith Abraham

Fuzzy inference systems and neural networks are complementary technologies in the design of adaptive intelligent systems. Artificial Neural Network (ANN) learns from scratch by adjusting the interconnections between layers. Fuzzy Inference System (FIS) is a popular computing framework based on the concept of fuzzy set theory, fuzzy if-then rules, and fuzzy reasoning. A neuro-fuzzy system is sim...

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