نتایج جستجو برای: کنترل anfis

تعداد نتایج: 89192  

ژورنال: :مهندسی عمران مدرس 2014
امیر فایضی حمید محرمی

در این مقاله استراتژی کنترل بهینه ساختمانهای مجهز به میراگر mr با استفاده از شبکه عصبی فازی anfis ارائه گشته است. ابتدا یک تابعک هدف (j) پیشنهاد گشته و از معادلات دینامیکی سازه به همراه میراگر mr به عنوان قیود آن استفاده گردیده است. با حداقل کردن این تابعک هدف، تاریخچه زمانی بهینه ولتاژهای اعمالی به میراگرها بدست آورده شده است. از این ولتاژها و پاسخهای سازه¬ای متناظر، برای آموزش anfis استفاده ش...

Journal: :Studies in health technology and informatics 2015
Lejla Begic Fazlic Korana Avdagic Samir Omanovic

This paper presents novel GA-ANFIS expert system prototype for dermatological disease detection by using dermatological features and diagnoses collected in real conditions. Nine dermatological features are used as inputs to classifiers that are based on Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for the first level of fuzzy model optimization. After that, they are used as inputs in Genetic ...

ژورنال: :مهندسی مخابرات 0
سپیده حیدری دانشگاه آزاد اسلامی واحد ابرکوه امین رمضانی دانشگاه تربیت مدرس مجید ناصریان دانشگاه آزاد اسلامی واحد مهریز

در این مقاله ابتدا مدل خطی سیستم تعلیق خودرو انتخاب و شبیه­سازی و داده­های لازم جهت آموزش از آن استخراج می­گردد. در راستای تحقق هدف سیستم تعلیق، با استفاده از روش­های مرسوم یک کنترل­کننده pid برای سیستم تعلیق طراحی و از آن جهت آموزش کنترل­کننده تطبیقی عصبی - فازی (anfis)  استفاده شود. این سیستم anfis با استفاده از خطای خروجی کنترل­کننده pid به صورت بر خط آموزش می­بیند و پس از آموزش، کنترل­کننده...

Journal: :Journal of neuroscience methods 2005
Inan Güler Elif Derya Ubeyli

This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) model for classification of electroencephalogram (EEG) signals. Decision making was performed in two stages: feature extraction using the wavelet transform (WT) and the ANFIS trained with the backpropagation gradient descent method in combination with the least squares method. Five types of EEG signals were us...

2011
Hossein Abbasimehr Mostafa Setak M. J. Tarokh

Churn prediction is a useful tool to predict customer at churn risk. By accurate prediction of churners and non-churners, a company can use the limited marketing resource efficiently to target the churner customers in a retention marketing campaign. Accuracy is not the only important aspect in evaluating a churn prediction models. Churn prediction models should be both accurate and comprehensib...

2013
Rajpal Singh Bhoopal Ramvir Singh Pradeep Kumar Sharma

In the present study, the adaptive neuro-fuzzy inference system (ANFIS) is developed for the prediction of effective thermal conductivity (ETC) of different fillers filled in polymer matrixes. The ANFIS uses a hybrid learning algorithm. The ANFIS is a class of adaptive networks that is functionally equivalent to fuzzy inference systems (FIS). The ANFIS is based on neuro-fuzzy model, trained wit...

2017
Iman Mansouri Ozgur Kisi Pedram Sadeghian Chang-Hwan Lee Jong Wan Hu

This paper investigates the effectiveness of four different soft computing methods, namely radial basis neural network (RBNN), adaptive neuro fuzzy inference system (ANFIS) with subtractive clustering (ANFIS-SC), ANFIS with fuzzy c-means clustering (ANFIS-FCM) and M5 model tree (M5Tree), for predicting the ultimate strength and strain of concrete cylinders confined with fiber-reinforced polymer...

2017
Altyeb Altaher Omar BaRukab

Prediction of student’s performance is potentially important for educational institutions to assist the students in improving their academic performance, and deliver high quality education. Developing an accurate student’s performance prediction model is challenging task. This paper employs the Adaptive NeuroFuzzy Inference system (ANFIS) for student academic performance prediction to help stud...

Journal: :Computers in biology and medicine 2005
Elif Derya Übeyli Inan Güler

In this study, a new approach based on adaptive neuro-fuzzy inference system (ANFIS) was presented for detection of internal carotid artery stenosis and occlusion. The internal carotid arterial Doppler signals were recorded from 130 subjects that 45 of them suffered from internal carotid artery stenosis, 44 of them suffered from internal carotid artery occlusion and the rest of them were health...

2015
Reecha Sharma

In this paper a pose invariant face recognition using neuro-fuzzy approach is proposed. Here adaptive neuro fuzzy interface system (ANFIS) classifier is used as neuro-fuzzy approach for pose invariant face recognition. In the proposed approach the preprocessing of image is done by using adaptive median filter. It removes the salt pepper noise from the original images. From these denoised images...

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