PAD MODELING BY USING ARTIFICIAL NEURAL NETWORK
نویسندگان
چکیده
منابع مشابه
scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
Cell Deformation Modeling Under External Force Using Artificial Neural Network
Embryogenesis, regeneration and cell differentiation in microbiological entities are influenced by mechanical forces. Therefore, development of mechanical properties of these materials is important. Neural network technique is a useful method which can be used to obtain cell deformation by the means of force-geometric deformation data or vice versa. Prior to insertion in the needle injection pr...
متن کاملModeling and Simulation of Water Softening by Nanofiltration Using Artificial Neural Network
An artificial neural network has been used to determine the volume flux and rejections of Ca2+ , Na+ and Cl¯, as a function of transmembrane pressure and concentrations of Ca2+, polyethyleneimine, and polyacrylic acid in water softening by nanofiltration process in presence of polyelectrolytes. The feed-forward multi-layer perceptron artificial neural network including an eight-neuron hidde...
متن کاملDetecting Depression in Elderly People by Using Artificial Neural Network
Introduction: The possibility of depression is common in the elderly. Novel technologies allow us to monitor people related to depression. Hence, a model was provided to detect depression in elderly based on artificial neural network (ANN). Methods: The present study is an applied descriptive-survey research. Forty elderly people were randomly selected from the Elderly Care Center in Gonbad Ka...
متن کاملپیش بینی ورشکستگی شرکت های پذیرفته شده در بورس اوراق بهادار تهران با استفاده از شبکه های عصبی مصنوعی forecasting corporation bankruptcy by using artificial neural network
استفاده از نسبت های مالی برای پیش بینی ورشکستگی شرکتها، همیشه مورد توجه دانشگاهیان و بنگاه های اقتصادی، بویژه بانک ها و سایر نهادهای مالی بوده است. پیش بینی به موقع میتواند تصمیم گیران را در یافتن راه حل و پیشگیری از ورشکستگی، یاری نماید. همچنین، این مدل ها کاربرد بسیار زیادی در رتبه بندی اعتباری و نحوه توزیع تسهیلات بانکی دارد. در چنین مطالعاتی معمولات از مدل های آماری مانند تحلیل ممیز چندگانه...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Progress In Electromagnetics Research
سال: 2007
ISSN: 1559-8985
DOI: 10.2528/pier07041201