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1
A solution to the learning dilemma for recurrent networks of spiking neurons
A solution to the learning dilemma for recurrent networks of spiking neurons
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A solution to the learning dilemma for recurrent networks of spiking neurons

Nature communications, 2020-07, Vol.11 (1), p.3625-3625, Article 3625 [Peer Reviewed Journal]

The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-17236-y ;PMID: 32681001

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2
An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
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An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

Sensors (Basel, Switzerland), 2017-02, Vol.17 (2), p.414-414 [Peer Reviewed Journal]

2017. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17020414 ;PMID: 28230767

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3
Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam
Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam
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Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam

Materials, 2022-02, Vol.15 (4), p.1477 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1996-1944 ;EISSN: 1996-1944 ;DOI: 10.3390/ma15041477 ;PMID: 35208015

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4
Equalization enhanced phase noise in Nyquist-spaced superchannel transmission systems using multi-channel digital back-propagation
Equalization enhanced phase noise in Nyquist-spaced superchannel transmission systems using multi-channel digital back-propagation
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Equalization enhanced phase noise in Nyquist-spaced superchannel transmission systems using multi-channel digital back-propagation

Scientific reports, 2015-09, Vol.5 (1), p.13990-13990, Article 13990 [Peer Reviewed Journal]

Copyright Nature Publishing Group Sep 2015 ;Copyright © 2015, Macmillan Publishers Limited 2015 Macmillan Publishers Limited ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep13990 ;PMID: 26365422

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5
Low-dimensional dynamics for working memory and time encoding
Low-dimensional dynamics for working memory and time encoding
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Low-dimensional dynamics for working memory and time encoding

Proceedings of the National Academy of Sciences - PNAS, 2020-09, Vol.117 (37), p.23021-23032 [Peer Reviewed Journal]

Copyright National Academy of Sciences Sep 15, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1915984117 ;PMID: 32859756

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6
Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography
Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography
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Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography

Journal of biomedical optics, 2019-05, Vol.24 (5), p.1-12 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Authors. The Authors ;ISSN: 1083-3668 ;EISSN: 1560-2281 ;DOI: 10.1117/1.jbo.24.5.051407 ;PMID: 30569669

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7
Convolutional Neural Network Based on Extreme Learning Machine for Maritime Ships Recognition in Infrared Images
Convolutional Neural Network Based on Extreme Learning Machine for Maritime Ships Recognition in Infrared Images
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Convolutional Neural Network Based on Extreme Learning Machine for Maritime Ships Recognition in Infrared Images

Sensors (Basel, Switzerland), 2018-05, Vol.18 (5), p.1490 [Peer Reviewed Journal]

2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18051490 ;PMID: 29747439

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8
Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning
Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning
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Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning

Nature communications, 2020-07, Vol.11 (1), p.3694-3694, Article 3694 [Peer Reviewed Journal]

The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-17516-7 ;PMID: 32703945

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9
Indoor Positioning Algorithm Based on the Improved RSSI Distance Model
Indoor Positioning Algorithm Based on the Improved RSSI Distance Model
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Indoor Positioning Algorithm Based on the Improved RSSI Distance Model

Sensors (Basel, Switzerland), 2018-08, Vol.18 (9), p.2820 [Peer Reviewed Journal]

2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18092820 ;PMID: 30150521

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10
Toward a theory of evolution as multilevel learning
Toward a theory of evolution as multilevel learning
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Toward a theory of evolution as multilevel learning

Proceedings of the National Academy of Sciences - PNAS, 2022-02, Vol.119 (6), p.1 [Peer Reviewed Journal]

Copyright © 2022 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Feb 8, 2022 ;Copyright © 2022 the Author(s). Published by PNAS. 2022 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2120037119 ;PMID: 35121666

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11
Learning hidden elasticity with deep neural networks
Learning hidden elasticity with deep neural networks
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Learning hidden elasticity with deep neural networks

Proceedings of the National Academy of Sciences - PNAS, 2021-08, Vol.118 (31), p.1 [Peer Reviewed Journal]

Copyright National Academy of Sciences Aug 3, 2021 ;2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2102721118 ;PMID: 34326258

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12
Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware
Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware
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Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware

Nature communications, 2022-12, Vol.13 (1), p.7847-7847, Article 7847 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-022-35216-2 ;PMID: 36572696

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13
Dental caries diagnosis in digital radiographs using back-propagation neural network
Dental caries diagnosis in digital radiographs using back-propagation neural network
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Dental caries diagnosis in digital radiographs using back-propagation neural network

Health information science and systems, 2020-12, Vol.8 (1), p.8-8, Article 8 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;Springer Nature Switzerland AG 2020. ;COPYRIGHT 2020 BioMed Central Ltd. ;ISSN: 2047-2501 ;EISSN: 2047-2501 ;DOI: 10.1007/s13755-019-0096-y ;PMID: 31949895

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14
Multiple faults diagnosis for ocean-going marine diesel engines based on different neural network algorithms
Multiple faults diagnosis for ocean-going marine diesel engines based on different neural network algorithms
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Multiple faults diagnosis for ocean-going marine diesel engines based on different neural network algorithms

Science progress (1916), 2023-10, Vol.106 (4) [Peer Reviewed Journal]

The Author(s) 2023 ;ISSN: 0036-8504 ;EISSN: 2047-7163 ;DOI: 10.1177/00368504231212765

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15
Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM
Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM
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Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM

Sensors (Basel, Switzerland), 2022-08, Vol.22 (16), p.6281 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22166281 ;PMID: 36016042

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16
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features
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A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features

BMC bioinformatics, 2019-06, Vol.20 (Suppl 8), p.290-290, Article 290 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s). 2019 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-019-2771-z ;PMID: 31182028

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17
Learned Prediction of Compressive Strength of GGBFS Concrete Using Hybrid Artificial Neural Network Models
Learned Prediction of Compressive Strength of GGBFS Concrete Using Hybrid Artificial Neural Network Models
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Learned Prediction of Compressive Strength of GGBFS Concrete Using Hybrid Artificial Neural Network Models

Materials, 2019-11, Vol.12 (22), p.3708 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1996-1944 ;EISSN: 1996-1944 ;DOI: 10.3390/ma12223708 ;PMID: 31717660

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18
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
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Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting

Nature communications, 2021-11, Vol.12 (1), p.6884-6884, Article 6884 [Peer Reviewed Journal]

2021. The Author(s). ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-27241-4 ;PMID: 34824254

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19
Fault Restoration of Six-Axis Force/Torque Sensor Based on Optimized Back Propagation Networks
Fault Restoration of Six-Axis Force/Torque Sensor Based on Optimized Back Propagation Networks
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Fault Restoration of Six-Axis Force/Torque Sensor Based on Optimized Back Propagation Networks

Sensors (Basel, Switzerland), 2022-09, Vol.22 (17), p.6691 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22176691 ;PMID: 36081154

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20
Sine-SSA-BP Ship Trajectory Prediction Based on Chaotic Mapping Improved Sparrow Search Algorithm
Sine-SSA-BP Ship Trajectory Prediction Based on Chaotic Mapping Improved Sparrow Search Algorithm
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Sine-SSA-BP Ship Trajectory Prediction Based on Chaotic Mapping Improved Sparrow Search Algorithm

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.704 [Peer Reviewed Journal]

2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23020704 ;PMID: 36679503

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