نتایج جستجو برای: artifitial neural network
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although, coumarins are a group of compounds which are naturally found in some plants, they can be synthetically produced as well. because of their diverse derivatives, origin and properties most of them can be used for medicinal purposes. for example, they can be used against fungal diseases or in studying structure and biological properties of antifungal agents to discover new compounds with ...
در سالیان اخیر توجه زیادی روی موضوع تشخیص خطا در واحدهای مختلف شیمیائی بوسیله روشهای مختلف شده است . که یکی از این روشها شبکه های عصبی می باشد که شامل سه مرحله، آموزش ، بازخوانی و عمومیت بخشیدن می باشد. در این مقاله با استفاده از شبکه های عصبی مصنوعی (network artificial neural) از نوع (rbf)radial basis function و (bp) backpropagation خطاهای ایجاد شده در برج تقطیر تشخیص داده می شود. جهت آموزش اب...
فرآیند هیدروفرمینگ یکی از روش های نسبتاً نوین شکل دهی فلزات است که به مرور به یکی از روش های مهم شکل دهی و به ویژه شکل دهی لوله در صنعت تبدیل شده است. علت این امر مزایای گسترده این فرآیند در افزایش قابلیت های مطلوب قطعه از جمله افزایش استحکام، کاهش وزن، کاهش عملیات های ثانویه بر روی قطعه و دستیابی به تلورانس های ابعادی دقیقتر می باشد. با گسترش استفاده از المان محدود و توسعه مفاهیم مربوطه، استف...
Accurate flood forecasting is a vital need to reduce its risks. Due to the complicated structure of flood and river flow, it is somehow difficult to solve this problem. Artificial neural networks, such as frequent neural networks, offer good performance in time series data. In recent years, the use of Long Short Term Memory networks hase attracted much attention due to the faults of frequent ne...
background: the purpose of this investigation was to compare empirically predictive ability of an artificial neural network with a logistic regression in prediction of low back pain. methods: data from the second national health survey were considered in this investigation. this data includes the information of low back pain and its associated risk factors among iranian people aged 15 years a...
runoff is one of the major components of calculating water resource processes and is the main issue in hydrology. many concept models are used to predict the amount of runoff, which in most cases depend on topographical and hydrological data. conventional models are not appropriate for areas in which there is little hydrological data. changes in runoff are nonlinear, meaning it is time & space ...
evaporation is one of the most important components of hydrologic cycle.accurate estimation of this parameter is used for studies such as water balance,irrigation system design, and water resource management. in order to estimate theevaporation, direct measurement methods or physical and empirical models can beused. using direct methods require installing meteorological stations andinstruments ...
during the past few years, modeling in agriculture has attracted considerable attention. new modeling methods including neural networks are employed in various industries, and it is necessary that their use in agriculture be also considered. this research addressed the trend of energy use in broiler farms in alborz province and sought to model the trend of energy consumption and production in t...
Background and Objectives : recent years, considerable attention has been paid to statistical models for classification of medical data according to various diseases and their outcomes. Artificial neural networks have been successfully used for pattern recognition and prediction since they are not based on prior assumptions in clinical studies. This study compared two statistical models, arti...
Introduction: Brucellosis is considered as one of the most important common infectious diseases between humans and animals. Considering the endemic nature of brucellosis and the existence of numerous reports of human and animal cases of brucellosis in Iran, the incidence of human brucellosis in Rafsanjan city was determined in the last 3 years (2016–2018). The main objective of this study was t...
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