DPK: Deep Neural Network Approximation of the First Piola-Kirchhoff Stress
نویسندگان
چکیده
منابع مشابه
Deep Neural Network Approximation using Tensor Sketching
Deep neural networks are powerful learning models that achieve state-of-the-art performance on many computer vision, speech, and language processing tasks. In this paper, we study a fundamental question that arises when designing deep network architectures: Given a target network architecture can we design a “smaller” network architecture that “approximates” the operation of the target network?...
متن کاملanalysis of power in the network society
اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...
15 صفحه اولassessment of the efficiency of s.p.g.c refineries using network dea
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
The Optimization of Forecasting ATMs Cash Demand of Iran Banking Network Using LSTM Deep Recursive Neural Network
One of the problems of the banking system is cash demand forecasting for ATMs (Automated Teller Machine). The correct prediction can lead to the profitability of the banking system for the following reasons and it will satisfy the customers of this banking system. Accuracy in this prediction are the main goal of this research. If an ATM faces a shortage of cash, it will face the decline of bank...
متن کاملAnomaly-based Web Attack Detection: The Application of Deep Neural Network Seq2Seq With Attention Mechanism
Today, the use of the Internet and Internet sites has been an integrated part of the people’s lives, and most activities and important data are in the Internet websites. Thus, attempts to intrude into these websites have grown exponentially. Intrusion detection systems (IDS) of web attacks are an approach to protect users. But, these systems are suffering from such drawbacks as low accuracy in ...
متن کاملذخیره 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: Advances in Applied Mathematics and Mechanics
سال: 2023
ISSN: ['2070-0733', '2075-1354']
DOI: https://doi.org/10.4208/aamm.oa-2022-0159