Mini-Q
نویسندگان
چکیده
منابع مشابه
Mini/Micro-Grid Adaptive Voltage and Frequency Stability Enhancement Using Q-learning Mechanism
This paper develops an adaptive control method for controlling frequency and voltage of an islanded mini/micro grid (M/µG) using reinforcement learning method. Reinforcement learning (RL) is one of the branches of the machine learning, which is the main solution method of Markov decision process (MDPs). Among the several solution methods of RL, the Q-learning method is used for solving RL in th...
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The Semantic Web of Things (SWoT) is a novel paradigm, blending the Semantic Web and the Internet of Things visions. Due to architectural and performance issues, it is currently impractical to use available reasoners for processing semantic-based information and perform resource discovery in pervasive computing scenarios. This paper presents a prototypical mobile reasoner for the SWoT, supporti...
متن کاملq-Poisson, q-Dobinski, q-Rota and q-coherent states
The q-Dobinski formula may be interpreted as the average of powers of random variable X q with the q-Poisson distribution. Forty years ago Rota G. C. [1] proved the exponential generating function for Bell numbers B n to be of the form ∞ n=0 x n n! (B n) = exp(e x − 1) (1) using the linear functional L such that L(X n) = 1, n ≥ 0 (2) Then Bell numbers (see: formula (4) in [1]) are defined by L(...
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Painful conditions of tendons, cartilage, and nerves can be debilitating. Until recently, repeated corticosteroid injections or surgery were the only treatment options that were considered. Degeneration of the underlying tissue is the hallmark lesion in most of these cases. Image guided percutaneous treatment with autologous orthobiologicals derived from blood and mesenchymal stem cells towards...
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ژورنال
عنوان ژورنال: SHINKU
سال: 1969
ISSN: 0559-8516,1880-9413
DOI: 10.3131/jvsj.12.197