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Templates, Tools & Symbols For Easy Network Diagrams. Includes Cisco Symbols.
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Vor einem Tag · At a model iteration of 600, the learning rate for the SVM-based neural network training model is 0.15, the LSM-based neural network training model has a learning rate of 0.26, and the non ...
Vor 5 Tagen · Intelligent reflecting surface (IRS) has been regarded as an efficient technology to enhance the network performance. Since the IRS can assist transmitters to communicate in a directional reflection way, its deployment usually has a strong correlation with the locations of transmitters. In order to well capture the directional transmission and the spatial correlation while guaranteeing the ...
Vor einem Tag · In the evolving field of Explainable AI (XAI), interpreting the decisions of deep neural networks (DNNs) in computer vision tasks is an important process. While pixel-based XAI methods focus on identifying significant pixels, existing concept-based XAI methods use pre-defined or human-annotated concepts. The recently proposed Segment Anything Model (SAM) achieved a significant step forward to ...
Vor 4 Tagen · A Hopfield network (Ising model of a neural network or Ising–Lenz–Little model or Amari-Little-Hopfield network) is a spin glass system used to model neural networks, based on Ernst Ising's work with Wilhelm Lenz on the Ising model of magnetic materials.
Vor 4 Tagen · In machine learning, backpropagation is a gradient estimation method used to train neural network models. The gradient estimate is used by the optimization algorithm to compute the network parameter updates. It is an efficient application of the Leibniz chain rule (1673) [1] to such networks. [2] .
Vor 5 Tagen · We show how to construct a tensor network representation of the path integral for reduced staggered fermions coupled to a non-abelian gauge field in two dimensions. The resulting formulation is both memory and computation efficient because reduced staggered fermions can be represented in terms of a minimal number of tensor indices while the gauge sector can be approximated using Gaussian ...
Vor 5 Tagen · This paper presents the development of an ensemble forecasting approach using a set of recurrent dynamic artificial neural network models having the Nonlinear AutoRegessive with eXogenous input (NARX) architecture. The many decisions that were made during the model-development process are summarized. Application of the k-fold cross-validation and ensemble methodology to forecasting net inflow ...
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