IEEE

Model Predictive Control of PVC Polymerization Temperature Based on the Koopman Operator Extracted From Feedforward Neural Network

Abstract: Due to the fact that the Polyvinyl Chloride (PVC) polymerization process is a time-varying, nonlinear process with large time delays, there are many uncertainties and external disturbances ...
IEEE

Second-Order Sliding Mode Control of Flying-Wing Aircraft Based on Feedforward Neural Networks

Abstract: The flying-wing aircraft control problem is a major concern. In this paper, a new control strategy is introduced. First, a Feedforward neural network (FNN) modeling is introduced. Then, a ...
RF Globalnet

Neural Networks And Predictive Analytics: Transforming Signal Integrity Analysis In Modern RF Systems

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling proactive system optimization and enhanced performance. The convergence of machine ...
Frontiers

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

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 be stored ...
Frontiers

Visible neural networks for multi-omics integration: a critical review

Biomarker discovery and drug response prediction are central to personalized medicine, driving demand for predictive models that also offer biological insights. Biologically informed neural networks ...
Scientific Research Publishing

Hornik, K., Stinchcombe, M. and White, H. (1989) Multilayer Feedforward Networks Are Universal Approximators. Neural Networks, 2, 359-366.

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...