نتایج جستجو برای: activation parameters
تعداد نتایج: 994776 فیلتر نتایج به سال:
واژه “چپگرد”، به ساختار هایی اطلاق می شود که ضریب شکست آنها در یک بازه فرکانسی منفی باشد. این ساختار ها ابتدا با استفاده از حلقه های شکافدار و میله های موازی در فرکانسهای ماکروویو تحقق یافته و سپس به فرکانسهای نوری تعمیم پیدا کرده است. در این پایان نامه، پس از بررسی عملکرد الکترومغناطیسی ساختارهای چپگرد در فرکانسهای ماکروویوو نوری و مطالعه در منشا ایجاد ضریب شکست منفی، نشان داده می شود که با اس...
Isothermal melt crystallization kinetics of PVDF was investigated by differential scanning calorimetry. Thin PVDF film has been fabricated by the solvent casting technique using dimethylformamide (DMF). Then, the samples were melted and subsequently crystallized in the range of the crystallization temperature (Tc) between 138 and 145 °C. The crystallization kinetics was derived from Avrami equa...
In the present study we examined the relationship between the induction of long-term potentiation (LTP) in the dentate gyrus of anesthetized rats and activation of immediate early genes (IEGs; c-fos and zif/268) using several different high-frequency stimulation paradigms. Stimulation parameters that effectively induced LTP were not associated with IEG activation. Conversely, stimulation parame...
This study considered the experimental parameters (zinc chloride, impregnation ratio and activation times) for nutrients removals (nitrate phosphate) in synthetic greywater using activated carb...
A theoretical study of the kinetic and mechanism of intramoleccha cychcation of (1)-undeca-7,8-dien-2-yne was performed using MT methods at B3LYP and B3PW91 levels of theory using 6-311g, 6-311C.6-31 IGs*, 6-31I+G, 6-31 I4-SG and 6-3114H-Gs* basis seo. Equilibrium molecular geometries andharmonic vibrational frequencies of the reaccint, transition state and product wens calculated. Theconsidere...
Within Neural Networks (NN), the parameters of Adaptive Activation Functions (AAF) control the shapes of activation functions. These parameters are trained along with other parameters in the NN. AAFs have improved performance of Convolutional Neural Networks (CNN) in multiple classification tasks. In this paper, we propose and apply AAFs on CNNs for regression tasks. We argue that applying AAFs...
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