A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
This paper is concerned with the long-time behavior of solutions for a class of stochastic semilinear degenerate equations with memory driven by nonlinear noise on ℝ n ...
Can light perform millions of calculations at once without extra materials? A new optical system shows how this can be done.
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear ...
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...
Abstract: In this article, a global output feedback control scheme is developed for a class of uncertain nonlinear systems subject to input quantization and unknown output function. By employing a ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
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How to run R-style linear regressions in Python the easy way
If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can use R-style formulas. First, you need to import statsmodels and its ...
Abstract: Various recurrent neural network (RNN) models, especially zeroing neutral network (ZNN) models, have been investigated to solve time-varying linear inequalities (TVLI) and applied to ...
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