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1
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
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Learning Explanatory Rules from Noisy Data

The Journal of artificial intelligence research, , Vol.61, p.1-64 [Peer Reviewed Journal]

2018. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.5714

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2
Scalable Planning with Deep Neural Network Learned Transition Models
Scalable Planning with Deep Neural Network Learned Transition Models
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Scalable Planning with Deep Neural Network Learned Transition Models

The Journal of artificial intelligence research, 2020-07, Vol.68, p.571-606 [Peer Reviewed Journal]

2020. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1.11829

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3
Application of back propagation neural network model optimized by particle swarm algorithm in predicting the risk of hypertension
Application of back propagation neural network model optimized by particle swarm algorithm in predicting the risk of hypertension
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Application of back propagation neural network model optimized by particle swarm algorithm in predicting the risk of hypertension

The journal of clinical hypertension (Greenwich, Conn.), 2022-12, Vol.24 (12), p.1606-1617 [Peer Reviewed Journal]

2022 The Authors. published by Wiley Periodicals LLC. ;2022 The Authors. The Journal of Clinical Hypertension published by Wiley Periodicals LLC. ;2022. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1524-6175 ;EISSN: 1751-7176 ;DOI: 10.1111/jch.14597 ;PMID: 36380516

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4
Oxygen aeration efficiency of gabion spillway by soft computing models
Oxygen aeration efficiency of gabion spillway by soft computing models
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Oxygen aeration efficiency of gabion spillway by soft computing models

Water quality research journal, 2022-08, Vol.57 (3), p.215-232 [Peer Reviewed Journal]

ISSN: 2709-8044 ;EISSN: 2709-8052 ;DOI: 10.2166/wqrj.2022.009

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5
An automated testing system for the RD51 VMM hybrid and yield measurement of the first production batches
An automated testing system for the RD51 VMM hybrid and yield measurement of the first production batches
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An automated testing system for the RD51 VMM hybrid and yield measurement of the first production batches

arXiv.org, 2022-05 [Peer Reviewed Journal]

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2206.00033

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6
Back Propagation Neural Network for Prediction of Some Shell Moulding Parameters
Back Propagation Neural Network for Prediction of Some Shell Moulding Parameters
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Back Propagation Neural Network for Prediction of Some Shell Moulding Parameters

Periodica polytechnica. Mechanical engineering - Mas̆inostroenie, 2016-10, Vol.60 (4), p.203-208 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2016 ;ISSN: 0324-6051 ;EISSN: 1587-379X ;DOI: 10.3311/PPme.8684

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7
Adaptive Turbo Equalization of Probabilistically Shaped Constellations
Adaptive Turbo Equalization of Probabilistically Shaped Constellations
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Adaptive Turbo Equalization of Probabilistically Shaped Constellations

arXiv.org, 2023-02

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2302.12620

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8
Development of a Self-tuning PID Controller on Hydraulically Actuated Stewart Platform Stabilizer with Base Excitation
Development of a Self-tuning PID Controller on Hydraulically Actuated Stewart Platform Stabilizer with Base Excitation
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Development of a Self-tuning PID Controller on Hydraulically Actuated Stewart Platform Stabilizer with Base Excitation

International Journal of Control, 2018, Automation, and Systems, 16(6), , pp.2990-2999

Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;International Journal of Control, Automation and Systems is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1598-6446 ;EISSN: 2005-4092 ;DOI: 10.1007/s12555-016-0559-8

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9
Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation
Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation
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Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation

arXiv.org, 2024-03

2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.11722

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10
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
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NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning

arXiv.org, 2024-03

2024. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.14139

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11
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks
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Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks

arXiv.org, 2023-12

2023. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2312.13311

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12
Predicting Self-Interacting Proteins Using a Recurrent Neural Network and Protein Evolutionary Information
Predicting Self-Interacting Proteins Using a Recurrent Neural Network and Protein Evolutionary Information
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Predicting Self-Interacting Proteins Using a Recurrent Neural Network and Protein Evolutionary Information

Evolutionary bioinformatics online, 2020-05, Vol.16, p.117693432092467 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. This work is licensed under the Creative Commons Attribution – Non-Commercial License https://creativecommons.org/licenses/by-nc/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 2020 SAGE Publications Ltd unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses ;ISSN: 1176-9343 ;EISSN: 1176-9343 ;DOI: 10.1177/1176934320924674 ;PMID: 32550764

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13
Zenkai -- Framework For Exploring Beyond Backpropagation
Zenkai -- Framework For Exploring Beyond Backpropagation
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Zenkai -- Framework For Exploring Beyond Backpropagation

arXiv.org, 2023-11

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2311.09663

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14
Top-Down Network Combines Back-Propagation with Attention
Top-Down Network Combines Back-Propagation with Attention
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Top-Down Network Combines Back-Propagation with Attention

arXiv.org, 2023-08

2023. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.02415

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15
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop
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Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop

arXiv.org, 2023-08

2023. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2212.04614

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16
Concept backpropagation: An Explainable AI approach for visualising learned concepts in neural network models
Concept backpropagation: An Explainable AI approach for visualising learned concepts in neural network models
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Concept backpropagation: An Explainable AI approach for visualising learned concepts in neural network models

arXiv.org, 2023-07

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2307.12601

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17
DNArch: Learning Convolutional Neural Architectures by Backpropagation
DNArch: Learning Convolutional Neural Architectures by Backpropagation
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DNArch: Learning Convolutional Neural Architectures by Backpropagation

arXiv.org, 2023-07

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2302.05400

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18
Neural network modelling and classification of lithofacies using well log data: A case study from KTB borehole site
Neural network modelling and classification of lithofacies using well log data: A case study from KTB borehole site
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Neural network modelling and classification of lithofacies using well log data: A case study from KTB borehole site

Geophysical journal international, 2007-05, Vol.169 (2), p.733-746 [Peer Reviewed Journal]

ISSN: 0956-540X ;EISSN: 1365-246X ;DOI: 10.1111/j.1365-246X.2007.03342.x

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19
InvertibleNetworks.jl: A Julia package for scalable normalizing flows
InvertibleNetworks.jl: A Julia package for scalable normalizing flows
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InvertibleNetworks.jl: A Julia package for scalable normalizing flows

arXiv.org, 2023-12

2023. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2312.13480

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20
Lower Limb Movements Recognition Based on Feature Recursive Elimination and Backpropagation Neural Network
Lower Limb Movements Recognition Based on Feature Recursive Elimination and Backpropagation Neural Network
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Lower Limb Movements Recognition Based on Feature Recursive Elimination and Backpropagation Neural Network

arXiv.org, 2024-04

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.11383

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