Results 121 to 130 of about 27,765 (261)

Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization.

Biomed Res Int, 2022
Nagra AA, Alyas T, Hamid M, Tabassum N, Ahmad A.   +4 more
europepmc   +1 more source

Time‐Frequency Market‐State Learning for Execution‐Aware Directional Prediction: Evidence From the CSI 300 Index

International Studies of Economics, EarlyView.
ABSTRACT Financial markets can be viewed as multiscale information systems in which short‐lived disturbances, recurrent temporal patterns, liquidity conditions, and execution constraints jointly shape index price movements. This study develops an empirical‐wavelet‐and‐Fourier time‐frequency (EFT) feature block integrated with a ConvTransformer ...
Yi Chen, Ranzhe Jing, Qiang Li
wiley   +1 more source

Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review

Journal of Medical Radiation Sciences, EarlyView.
Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad, Aoife O Sullivan, Yasser H. Hadi, Laura McLaughlin, Andrew England, Mark McEntee   +5 more
wiley   +1 more source

Effects of network topologies on stochastic resonance in feedforward neural network. [PDF]

Cogn Neurodyn, 2020
Zhao J, Qin Y, Che Y, Ran H, Li J.
europepmc   +1 more source

Driving Cerebellar Theta Oscillations Interferes With Voluntary Neck Movements in Cervical Dystonia

Movement Disorders, EarlyView.
Abstract Background Cervical dystonia (CD) is a movement disorder with a complex pathophysiology, including cerebellar abnormalities. Transcranial alternating current stimulation (tACS), a noninvasive neuromodulation technique capable of entraining brain oscillations, can transiently modulate neuronal activity and enhance resonant rhythms.
Davide Costa, Andrea Guerra, Daniele Birreci, Massimiliano Passaretti, Martina De Riggi, Anna Sofia Grandolfo, Valentina D'Onofrio, Luca Angelini, Giulia Paparella, Matteo Bologna   +9 more
wiley   +1 more source

Boolean Feedforward Neural Network Modeling of Molecular Regulatory Networks for Cellular State Conversion. [PDF]

Front Physiol, 2020
Choo SM, Almomani LM, Cho KH.
europepmc   +1 more source

Machine Learning‐Assisted Prediction and Analysis of Viscosity and Fusion Characteristics for Coal and Biomass Ash

Materials Genome Engineering Advances, EarlyView.
This study develops a machine learning framework for predicting the flow temperature and viscosity of coal and biomass ash with CatBoost and LightGBM as the optimal models. Feature analysis revealed composition‐property mechanisms, and symbolic regression was further applied to derive empirical formulas for rapid and accurate prediction.
Gangcheng Wang, Muhammad Faizan, Yuanliang Li, Kun Zhou, Kaikai Li, Qi Zhang, Shulin Luo, Guixuan Wu   +7 more
wiley   +1 more source

Representation and learning in feedforward neural networks

CWI Quarterly, 1993
Summary: The paper gives an introduction to feedforward neural networks. The aim is to present some of the basics of artificial neural networks, with a particular emphasis on the following two central issues. The first central issue of this paper is: in what sense do artificial neural networks represent mathematical functions, and what mathematical ...
openaire   +3 more sources

Dynamic Performance Enhancement of a High‐Agility Hypersonic Mechanical System via a Learning‐Augmented Robust Control Architecture

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The design of control systems for high‐agility mechanical systems operating in extreme environments is a significant challenge in nonlinear dynamics. This paper addresses the complex dynamic control problem of a hypersonic interceptor, modeled as a multi‐input multi‐output (MIMO) mechanical system characterized by strong aerodynamic cross ...
Mohammad Mahdi Soori, Seyed Hossein Sadati   +1 more
wiley   +1 more source

Designing ZV and ZVD Input Shapers Using the Designed Fixed Output Response Method to Suppress Residual Vibration of Overhead Crane Systems With Trolley Traveling and Payload Hoisting

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Classical Zero Vibration (ZV) and Zero Vibration and Derivative (ZVD) input shapers are designed around a fixed nominal natural frequency and cannot accommodate the time‐varying dynamics introduced when an overhead crane simultaneously travels and hoists a payload.
Mohammad Alfares, Khaled Alhazza
wiley   +1 more source