Abstract: In this article, future nonlinear equality and inequality system (FNEIS) is first investigated. To solve FNEIS, continuous zeroing equivalency (CZE) model is proposed based on zeroing neural ...
Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
This artistic rendering shows a thermal analog computing device, which performs computations using excess heat, embedded in a microelectronic system.Jose-Luis Olivares, MIT Scientists in the US have ...
Abstract: The dynamic Moore-Penrose inverse solution has attracted increasing attention because of its wide range of applications. The use of zeroing neural networks to solve the inverse problem of ...
This repository contains both the operators needed to use our parameterization of vertex positions of meshes as well as the code for the experiments we show in the paper. This will install the ...
Mathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try to find the most efficient way to do it.
1 College of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong, China. 2 Sichuan Province University Key Laboratory of Bridge Non-destruction Detecting and Engineering ...
The design of metamaterials which support unique optical responses is the basis for most thin-film nanophotonic applications. In practice, this inverse design (ID) problem can be difficult to solve ...
Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) can potentially enable people to non-invasively and directly communicate with others using brain activities. Artifacts generated from ...
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