IEEE

A Parallel GRU-Transformer Neural Network Approach for Feedforward Compensation in Precision Motion Platform Control

Abstract: This paper proposes a feedforward compensation strategy based on Parallel GRU-Transformer neural network to address the issues of large tracking errors and insufficient stability of multi ...
Frontiers

Maximizing theoretical and practical storage capacity in single-layer feedforward neural networks

Figure 1. Neural networks can store and recall information. In a recall task where the desired output pattern is identical to the input pattern, several patterns can ...
The New York Times

MLB, ESPN have agreement for network to sell all out-of-market and some in-market games: Sources

Major League Baseball and ESPN have a framework agreement that would give the network the exclusive rights to sell all out-of-market regular-season games digitally and in-market games for five clubs ...
IEEE

Feedforward Control for an Interventional X-Ray: A Parallel Physical Model and Neural Network Approach

Abstract: Hard-to-model, often nonlinear dynamics limit the tracking performance of physical-model-based feedforward control in medical interventional X-ray (IX) systems. In this article, these ...
Frontiers

Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs

Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These ...
Seeking Alpha

WiMi Developed a Quantum Computing-Based Feedforward Neural Network (QFNN) Algorithm

BEIJING, Apr. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced the development of a ...