Training Algorithm | List of Frontiers open access articles

Original Research

Published on 16 Mar 2022

Device Classification for Industrial Control Systems Using Predicted Traffic Features

in Computer Security

Indrasis Chakraborty
Brian M. Kelley
Brian Gallagher

Frontiers in Computer Science

doi 10.3389/fcomp.2022.777089

2,500 views
2 citations

Original Research

Published on 17 May 2024

Dynamical stability and chaos in artificial neural network trajectories along training

in Complex Systems Theory

Kaloyan Danovski
Miguel C. Soriano
Lucas Lacasa

Frontiers in Complex Systems

doi 10.3389/fcpxs.2024.1367957

4,849 views
11 citations

Original Research

Published on 25 Aug 2021

Predictive Chromatography of Leaf Extracts Through Encoded Environmental Forcing on Phytochemical Synthesis

in Technical Advances in Plant Science

Junelle Rey C. Bacong
Drandreb Earl O. Juanico

Frontiers in Plant Science

doi 10.3389/fpls.2021.613507

6,576 views
3 citations

Original Research

Published on 09 May 2022

Neural Network Training With Asymmetric Crosspoint Elements

in Machine Learning and Artificial Intelligence

Murat Onen
Tayfun Gokmen
Teodor K. Todorov
Tomasz Nowicki
Jesús A. del Alamo
John Rozen
Wilfried Haensch
Seyoung Kim

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.891624

5,635 views
25 citations

Original Research

Published on 11 Jul 2023

Functional extreme learning machine

Xianli Liu
Guo Zhou
Yongquan Zhou
Qifang Luo

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1209372

6,875 views
9 citations

Original Research

Published on 07 Jan 2022

IMU Sensing–Based Hopfield Neuromorphic Computing for Human Activity Recognition

in IoT and Sensor Networks

Zheqi Yu
Adnan Zahid
Shuja Ansari
Hasan Abbas
Hadi Heidari
Muhammad A. Imran
Qammer H. Abbasi

Frontiers in Communications and Networks

doi 10.3389/frcmn.2021.820248

3,543 views
2 citations

Methods

Published on 09 Jan 2023

Disturbance auto-encoder generation model: Few-shot learning method for IGBT open-circuit fault diagnosis in three-phase converters

in Process and Energy Systems Engineering

Fan Wu
Gen Qiu
Lefei Zhang
Kai Chen
Li Wang
Jinxu Yu
Jinqi Gao

Frontiers in Energy Research

doi 10.3389/fenrg.2022.1077519

2,104 views
6 citations

Original Research

Published on 16 Nov 2018

Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype

in Neuromorphic Engineering

Chen Liu
Guillaume Bellec
Bernhard Vogginger
David Kappel
Johannes Partzsch
Felix Neumärker
Sebastian Höppner
Wolfgang Maass
Steve B. Furber
Robert Legenstein

Frontiers in Neuroscience

doi 10.3389/fnins.2018.00840

13,653 views
65 citations

Original Research

Published on 02 Jul 2019

Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks

Andrés Ortiz
Jorge Munilla
Manuel Martínez-Ibañez
Juan M. Górriz
Javier Ramírez
Diego Salas-Gonzalez

Frontiers in Neuroinformatics

doi 10.3389/fninf.2019.00048

12,338 views
96 citations

Original Research

Published on 30 Oct 2017

Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons

Chengxu Zhuang
Yulong Wang
Daniel Yamins
Xiaolin Hu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2017.00100

11,929 views
20 citations

Original Research

Published on 03 Mar 2023

Energy-based analog neural network framework

Mohamed Watfa
Alberto Garcia-Ortiz
Gilles Sassatelli

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1114651

12,160 views
8 citations

Original Research

Published on 18 Jun 2019

Synthesizing Images From Spatio-Temporal Representations Using Spike-Based Backpropagation

in Neuromorphic Engineering

Deboleena Roy
Priyadarshini Panda
Kaushik Roy

Frontiers in Neuroscience

doi 10.3389/fnins.2019.00621

6,655 views
21 citations

Original Research

Published on 06 Apr 2023

Efficient training of spiking neural networks with temporally-truncated local backpropagation through time

in Neuromorphic Engineering

Wenzhe Guo
Mohammed E. Fouda
Ahmed M. Eltawil
Khaled Nabil Salama

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1047008

5,460 views
18 citations

Review

Published on 18 Nov 2022

Optoelectronic integrated circuits for analog optical computing: Development and challenge

in Optics and Photonics

Yihang Dan
Zeyang Fan
Qi Chen
Yihang Lai
Xiaojuan Sun
Tian Zhang
Kun Xu

Frontiers in Physics

doi 10.3389/fphy.2022.1064693

10,668 views
17 citations

Original Research

Published on 08 Apr 2021

A Cable-Driven Three-DOF Wrist Rehabilitation Exoskeleton With Improved Performance

Ke Shi
Aiguo Song
Ye Li
Huijun Li
Dapeng Chen
Lifeng Zhu

Frontiers in Neurorobotics

doi 10.3389/fnbot.2021.664062

14,021 views
40 citations

Original Research

Published on 27 Nov 2018

Predicting Roof Pressures on a Low-Rise Structure From Freestream Turbulence Using Artificial Neural Networks

in Wind Engineering and Science

Pedro L. Fernández-Cabán
Forrest J. Masters
Brian M. Phillips

Frontiers in Built Environment

doi 10.3389/fbuil.2018.00068

6,033 views
40 citations

Articles

Device Classification for Industrial Control Systems Using Predicted Traffic Features

Dynamical stability and chaos in artificial neural network trajectories along training

Predictive Chromatography of Leaf Extracts Through Encoded Environmental Forcing on Phytochemical Synthesis

Neural Network Training With Asymmetric Crosspoint Elements

Functional extreme learning machine

IMU Sensing–Based Hopfield Neuromorphic Computing for Human Activity Recognition

Disturbance auto-encoder generation model: Few-shot learning method for IGBT open-circuit fault diagnosis in three-phase converters

Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype

Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks

Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons

Energy-based analog neural network framework

Synthesizing Images From Spatio-Temporal Representations Using Spike-Based Backpropagation

Efficient training of spiking neural networks with temporally-truncated local backpropagation through time

Optoelectronic integrated circuits for analog optical computing: Development and challenge

A Cable-Driven Three-DOF Wrist Rehabilitation Exoskeleton With Improved Performance

Predicting Roof Pressures on a Low-Rise Structure From Freestream Turbulence Using Artificial Neural Networks