نتایج جستجو برای: nn
تعداد نتایج: 11304 فیلتر نتایج به سال:
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...
= = = + ⋅ + ⋅ = ∑ ∑ ... Abstract—A new application of the NN ensemble technique to improve the accuracy and stability of the calculation of NN emulation Jacobians is presented. The term “emulation” is defined to distinguish NN emulations from other NN models. It was shown that, for NN emulations, the introduced ensemble technique can be successfully applied to significantly reduce uncertainties...
A total of 434 Belgian Landrace (B) or Piétrain x B (PB) pigs, of known halothane genotype (NN, Nn, and nn), were slaughtered in a commercial abattoir. Pigs were either fed until loading or deprived of food overnight before delivery. Upon arrival at the abattoir, pigs were slaughtered after different lairage times (within 1 h after arrival, after 2 to 3 h lairage, or 4 to 5 h lairage). Meat qua...
background: data mining (dm) is an approach used in extracting valuable information from environmental processes. this research depicts a dm approach used in extracting some information from influent and effluent wastewater characteristic data of a waste stabilization pond (wsp) in birjand, a city in eastern iran. methods: multiple regression (mr) and neural network (nn) models were examined us...
This paper presents an approach for employing an artificial neural network (NN) to emulate an ensemble Kalman filter (EnKF) as a method of data assimilation. The assimilation methods are tested in the Simplified Parameterizations PrimitivE-Equation Dynamics (SPEEDY) model, an atmospheric general circulation model (AGCM), using synthetic observational data simulating localization of balloon soun...
Soil bulk density measurements are often required as an input parameter for models that predict soil processes. Nonparametric approaches are being used in various fields to estimate continuous variables. One type of the nonparametric lazy learning algorithms, a k-nearest neighbor (k-NN) algorithm was introduced and tested to estimate soil bulk density from other soil properties, including soil ...
This paper can reasonably identify the connection weight and threshold of NN and improve capability of true problem solution. This paper also applies PSO-BP NN model into classification of fabric flaws, decomposes the fabric image at single layer and extract the sub-image in horizontal and vertical direction to represent longitudinal and latitudinal texture by using orthogonal wavelet transform...
روشهای مختلف آماری، غیرآماری و جعبه سیاه در فرایندهای پیشبینی جریان رودخانه استفاده میشوند. از میان روشهای آماری، روش رگرسیون ناپارامتری K- نزدیکترین همسایگی بهواسطه پایه ریاضی و سادگی ذاتی، یکی از روشهای مناسب در فرایندهای پیشبینی است. در این تحقیق ضمن معرفی کامل روش K-NN به تشریح راهکارهای توسعه و بهبود این روش پرداخته میشود که از آن جمله میتوان به معرفی روشهای تخمین بهترین همسایگی، تو...
Combining Neural Network with Genetic Algorithm for prediction of S4 Parameter using GPS measurement
The ionospheric plasma bubbles cause unpredictable changes in the ionospheric electron density. These variations in the ionospheric layer can cause a phenomenon known as the ionospheric scintillation. Ionospheric scintillation could affect the phase and amplitude of the radio signals traveling through this medium. This phenomenon occurs frequently around the magnetic equator and in low latitu...
Conventional methods of pear breeding, largely based on intra- and inter-specific hybridization, are difficult because pear is highly heterozygous, polygenic and has a long juvenile period. Genetic improvements of pear cultivars are possible through induction of mutations and gene transfer by genetic engineering. A general prerequisite for these approaches is to establish an efficient plant reg...
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