نتایج جستجو برای: classification network

تعداد نتایج: 1118024  

ژورنال: پیاورد سلامت 2021
Sarhadi, Mona, Shayegan, Mohammad Amin,

Background and Aim: For effective treatment of Alzheimer's disease (AD), it is important to accurately diagnosis of AD and its earlier stage, Mild Cognitive Impairment (MCI). One of the most important approaches of early detection of AD is to measure atrophy, which uses various kinds of brain scans, such as MRI. The main objective of the current research was to provide a computerized diagnostic...

Bahador Makkiabadi Ehsan Eqlimi Fahimeh Mohagheghian Hamid Jalilvand Hassan Khajehpoor Mohammad Reza Deevband, Nasser Samadzadehaghdam

Introduction: Tinnitus known as a central nervous system disorder is correlated with specific oscillatory activities within auditory and non-auditory brain areas. Several studies in the past few years have revealed that in the most tinnitus cases, the response pattern of neurons in auditory system is changed due to auditory deafferentation, which leads to variation of the brain...

Journal: :international economics studies 0
مهدی احراری حجت الله غنیمی فرد حمید ابریشمی زهرا رحیمی

â â â â â â â  this paper proposes a new forecasting model for investigating relationship between the price of crude oil, as an important energy source and gdp of the us, as the largest oil consumer, and the uk, as the oil producer. gmdh neural network and mlff neural network approaches, which are both non-linear models, are employed to forecast gdp responses to the oil price changes. the resul...

Journal: :International Journal of Communication Systems 2007

Journal: :Journal of Computer Networks and Communications 2019

Journal: :Journal of Artificial Intelligence and Capsule Networks 2020

Journal: :Lecture Notes in Computer Science 2021

Abstract Writing classification rules to identify interesting network traffic is a time-consuming and error-prone task. Learning-based systems automatically extract such from positive negative examples. However, due limitations in the representation of learning strategy, these lack both expressiveness cover range applications interpretability fully describing traffic’s structure at session laye...

Journal: :International Journal of Research in Engineering and Technology 2016

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