Semiconductor Engineering

Parallel Implementation Of Nonlinear Functions Using An Optical Processor (UCLA)

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...
IEEE

Fixed-Time Distributed Consensus Optimization Control of High-Order Nonlinear Multi-Agent Systems via a Penalty-Function-Based Method

Abstract: This paper studies the distributed optimization problem of high-order multi-agent systems with unknown nonlinear terms and input saturation. Unlike existing results, nonlinear functions in ...
Frontiers

Vitamin C intake and cognitive function in older U.S. adults: nonlinear dose–response associations and effect modification by smoking status

1 The Affiliated Guangzhou Hospital of TCM of Guangzhou University of Chinese Medicine, Guangzhou, China 2 Sleep Research Institute of Traditional Chinese Medicine, Guangzhou Medical University, ...
Semiconductor Engineering

Implementing AI Activation Functions

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
Scientific Research Publishing

Non-Linear Matrix Completion ()

Current methods for predicting missing values in datasets often rely on simplistic approaches such as taking median value of attributes, limiting their applicability. Real-world observations can be ...
GitHub

TabML_nonlinear_example.py

# For this example, the nonlinear relationship can be any combination, e.g., a sine function, polynomial, etc.
IEEE

Adaptive Fuzzy Echo State Network Control of Fractional-Order Large-Scale Nonlinear Systems With Time-Varying Deferred Constraints

Abstract: In the traditional constrained control of nonlinear systems, the controller design usually requires that the initial value of the system meets certain strict conditions, and generally only ...
Frontiers

A free-knot spline modeling framework for piecewise linear logistic regression in complex samples with body mass index and mortality as an example

1 Department of Pharmacology and Experimental Therapeutics, Division of Biostatistics, Thomas Jefferson University, Philadelphia, PA, USA 2 Department of Biostatistics, Office of Energetics and ...