نتایج جستجو برای: support vector machine classifier
تعداد نتایج: 1054694 فیلتر نتایج به سال:
Introduction: Gait analysis through using modern technology for detection of Alzheimer's disease has found special attention by researchers over the last decade. In this study, skeletal data recorded with a Kinect camera, were used to analyze gait for the purpose of detecting Alzheimer's disease in elders. Method: In this applied-developmental experimental study, using a Kinect camera, data wer...
acute lymphoblastic leukemia is the most common form of pediatric cancer which is categorized into three l1, l2, and l3 and could bedetected through screening of blood and bone marrow smears by pathologists. due to being time‑consuming and tediousness of theprocedure, a computer‑based system is acquired for convenient detection of acute lymphoblastic leukemia. microscopic images areacquired fro...
This paper investigates an underwater noise target classification algorithm in order to identify vessels in shallow water. To this aim the Hilbert Huang transform has been used to extract features in order to be used in a classifier. The Support Vector Machine has been considered to identify targets. The proposed method based on Hilbert Huang Transform shows considerable gain against similar ap...
This paper compares the emotional pattern recognition method between standard BP neural network classifier and BP neural network classifier improved by the L-M algorithm. Then we compare the method Support Vector Machine (SVM) to them. Experiment analyzes wavelet transform of surface Electromyography (EMG) to extract the maximum and minimum wavelet coefficients of multi-scale firstly. We then i...
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...
در این پایان نامه یک شبکه عصبیltrfootnote{neural network} تک لایه بازگشتی برای ماشین بردار پشتیبانیltrfootnote{support vector machine} (svm) در الگوی یادگیری طبقه بندی و رگرسیون را ارائه می کنیم. اولین مساله یادگیری svm تبدیل به فرمول معادل آن، و پس از آن یک لایه شبکه های عصبی بازگشتی برای یادگیری svm پیشنهاد شده است. شبکه عصبی پیشنهادی برای به دست آوردن راه حل بهینه از طبقه بندی بردا...
Atrial Fibrillation is a supra ventricular tachyarrhythmia, which is characterized by the deterioration of atrial mechanical function and aberrant. It has become a social and economic problem because a large percentage of the world population suffering from this disease. The early diagnosis of this fatal cardiac Arrhythmia can be prevented and managed it. In this study, we used non-invasive met...
This work presents a technique for the analysis of Facial Electromyogram signal activities to classify five different facial expressions for Computer-Muscle Interfacing applications. Facial Electromyogram (FEMG) is a technique for recording the asynchronous activation of neuronal inside the face muscles with non-invasive electrodes. FEMG pattern recognition is a difficult task for the researche...
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