نتایج جستجو برای: modifying the model coefficients

تعداد نتایج: 16371779  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه اصفهان - دانشکده علوم تربیتی و روانشناسی 1388

چکیده هدف اصلی این پژوهش تعیین رابطه استراتژیهای خود رهبری و خلاقیت اعضای هیات علمی دانشگاه علم و صنعت بوده است. در این پژوهش از روش توصیفی از نوع همبستگی استفاده شده است. جامعه آماری پژوهش کلیه اعضای هیات علمی دانشگاه علم و صنعت در سال تحصیلی 88-1387 بود که بالغ بر345 نفربودندو از این تعداد، 119 نفر استاد با استفاده از روش نمونه گیری تصادفی طبقه ای متناسب با حجم انتخاب شد. ابزار جمع آوری داده...

Journal: : 2023

The paper regards the classical Evans price equilibrium model in free product market aspect of regarding opportunities for expanding (modifying) given that is aimed at perfecting accuracy its mathematical formulating. As an criterion, we have chosen a summary quadratic deviation calculated indices from ones. One approaches modifying basic suggesting there linear dependence between function and ...

Journal: :Electronic Notes in Theoretical Computer Science 2002

Journal: :health scope 0
ahmad gholamalizadeh ahangar department of soil sciences, faculty of soil and water, university of zabol, zabol, ir iran asma shabani department of soil sciences, faculty of soil and water, university of zabol, zabol, ir iran; department of soil sciences, faculty of soil and water, university of zabol, zabol, ir iran. tel: +98-5422240748, fax: +98-5422232501

conclusions results showed that ann is a powerful tool for predicting sorption coefficients using soil organic carbon content variations. results the multilayer perceptron (mlp) artificial neural networks (ann) model with 1-6-1 layout, predicted nearly 98% of the variance of kd as well as 94% of the koc variations with soil organic carbon content. materials and methods data of this study were d...

Hamidreza Foladmand Haneyeh Mazloom,

Infiltration process plays an important role in water cycle of the nature. Conducting field experiments is necessary to determine the coefficients of infiltration equations due to the dependence of these coefficients to the soil type, soil surface conditions and the amount of initial soil moisture content. This study has been carried out in a field located in Islamic Azad University, Marvdasht ...

Hamidreza Foladmand Haneyeh Mazloom,

Infiltration process plays an important role in water cycle of the nature. Conducting field experiments is necessary to determine the coefficients of infiltration equations due to the dependence of these coefficients to the soil type, soil surface conditions and the amount of initial soil moisture content. This study has been carried out in a field located in Islamic Azad University, Marvdasht ...

In this paper, we introduce a Takagi-Sugeno (TS) fuzzy model which is derived from a typical Multi-Layer Perceptron Neural Network (MLP NN). At first, it is shown that the considered MLP NN can be interpreted as a variety of TS fuzzy model. It is discussed that the utilized Membership Function (MF) in such TS fuzzy model, despite its flexible structure, has some major restrictions. After modify...

2016
Lukasz Mendecki Nicole Callan Meghan Ahern Benjamin Schazmann Aleksandar Radu

The applicability of ion exchange membranes is mainly defined by their permselectivity towards specific ions. For instance, the needed selectivity can be sought by modifying some of the components required for the preparation of such membranes. In this study, a new class of materials -trihexyl(tetradecyl)phosphonium based ionic liquids (ILs) were used to modify the properties of ion exchange me...

2006
LING He-Fei LU Zheng-Ding LI Rui-Xuan

In this paper, a robust algorithm with large data payload and high computational efficiency is proposed, which is suitable for real-time watermarking of JPEG or MPEG streams because it operates directly on DCT (discrete cosine transform) blocks. The proposed method is based on modifying the low-mid frequency DCT coefficients imperceptibly to modulate block energy. During the modulation, a theor...

Journal: :Proceedings of the AAAI Conference on Artificial Intelligence 2020

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