نتایج جستجو برای: neural network approximation
تعداد نتایج: 1008466 فیلتر نتایج به سال:
The model in this research was created based on the Artificial Neural Network (ANN) and calibrated in the Sefid-rood dam basin (excluding Khazar zone). This research was done by gathering and selecting peak flows of hydrographs from 12 sub basins, the concentration time of which was equal to or less than 24 hours and was caused only by rainfall. From all the selected sub basins, totally 661 hyd...
We evaluate the uncertainty quality in neural networks using anomaly detection. We extract uncertainty measures (e.g. entropy) from the predictions of candidate models, use those measures as features for an anomaly detector, and gauge how well the detector differentiates known from unknown classes. We assign higher uncertainty quality to candidate models that lead to better detectors. We also p...
Abstract In certain polytopal domains $$\varOmega $$ ? , in space dimension $$d=2,3$$ d = 2 , 3 we prove exponential expressivity with stable ReLU Neural Networks (ReLU NNs) $$H^1(\varOmega )$$ <mml:msu...
In this paper, we introduce adaptive network enhancement (ANE) method for the best least-squares approximation using two-layer ReLU neural networks (NNs). For a given function f(x), ANE generates NN and numerical integration mesh such that accuracy is within prescribed tolerance. The provides natural process obtaining good initialization which crucial training nonlinear optimization problems. N...
Inspired by the theory of multiresolution analysis (MRA) of wavelets and artificial neural networks, a multiresolution neural network (MRNN) for approximating arbitrary nonlinear functions is proposed in this paper. MRNN consists of a scaling function neural network (SNN) and a set of sub-wavelet neural networks, in which each sub-neural network can capture the specific approximation behavior (...
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