Effects of network topologies on stochastic resonance in feedforward neural network
نویسندگان
چکیده
منابع مشابه
analysis 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 اولscour 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...
Stable Criticality in a Feedforward Neural Network
How do learning processes escape from local optima? Doing so requires an exploration of the landscape at a range of the order of the landscape correlation length – a “long jump” in synapsis space. This brings up a dilemma: because of the high dimensionality of this space, the probability that a random long jump lead to a better optimum is nearly zero. We conjecture that “intelligent” coarse-gra...
متن کاملOptimizing Feedforward Neural Network of Classification Problems
Many researchers have proposed pruning algorithms in numerous ways to optimize the network architecture (Castellano et al., 1997; Ahmmed et al., 2007; Henrique et al., 2000; Ponnapalli et al., 1999). Reed (1993) and Engelbrecht (2001) have given detailed surveys of pruning algorithms. Each algorithm has its own advantages and limitations. Some algorithms (Engelbrecht, 2001; Xing & Hu, 2009) pru...
متن کاملP63: Automatic Detection of Glioblastoma Multiforme Tumors Using Magnetic Resonance Spectroscopy Data Based on Neural Network
Inflammation has been closely related to various forms of brain tumors. However, there is little knowledge about the role of inflammation in glioma. Grade IV glioma is formerly termed glioblastoma multiform (GBM). GBM is responsible for over 13,000 deaths per year in the America. Magnetic resonance imaging (MRI) is the most commonly used diagnostic method for GBM tumors. Recently, use of the MR...
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: Cognitive Neurodynamics
سال: 2020
ISSN: 1871-4080,1871-4099
DOI: 10.1007/s11571-020-09576-8