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Material Type: Article
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A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strengthNeural computing & applications, 2021-05, Vol.33 (9), p.4501-4532 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05244-4Full text available |
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Material Type: Article
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Deep learning-based sign language recognition system for static signsNeural computing & applications, 2020-06, Vol.32 (12), p.7957-7968 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04691-yFull text available |
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3 |
Material Type: Article
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Machine learning and data analytics for the IoTNeural computing & applications, 2020-10, Vol.32 (20), p.16205-16233 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2020 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-04874-yFull text available |
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4 |
Material Type: Article
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Text classification based on deep belief network and softmax regressionNeural computing & applications, 2018-01, Vol.29 (1), p.61-70 [Peer Reviewed Journal]The Natural Computing Applications Forum 2016 ;Copyright Springer Science & Business Media 2018 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-016-2401-xFull text available |
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Material Type: Article
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Advances in computational intelligenceNeural computing & applications, 2020-01, Vol.32 (2), p.309-311 [Peer Reviewed Journal]Neural Computing and Applications is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04324-4Full text available |
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6 |
Material Type: Article
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Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structuresNeural computing & applications, 2019-09, Vol.31 (9), p.4837-4847 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2019 ;Neural Computing and Applications is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-03965-1Full text available |
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7 |
Material Type: Article
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Deep learning for procedural content generationNeural computing & applications, 2021-01, Vol.33 (1), p.19-37 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05383-8Full text available |
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8 |
Material Type: Article
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A wrapper-filter feature selection technique based on ant colony optimizationNeural computing & applications, 2020-06, Vol.32 (12), p.7839-7857 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04171-3Full text available |
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9 |
Material Type: Article
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Prairie Dog Optimization AlgorithmNeural computing & applications, 2022-11, Vol.34 (22), p.20017-20065 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-022-07530-9Full text available |
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10 |
Material Type: Article
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An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy setsNeural computing & applications, 2019-11, Vol.31 (11), p.7041-7053 [Peer Reviewed Journal]The Natural Computing Applications Forum 2018 ;Neural Computing and Applications is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3521-2Full text available |
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11 |
Material Type: Article
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A deep learning approach for Parkinson’s disease diagnosis from EEG signalsNeural computing & applications, 2020-08, Vol.32 (15), p.10927-10933 [Peer Reviewed Journal]The Natural Computing Applications Forum 2018 ;The Natural Computing Applications Forum 2018. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3689-5Full text available |
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12 |
Material Type: Article
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An optimal pruning algorithm of classifier ensembles: dynamic programming approachNeural computing & applications, 2020-10, Vol.32 (20), p.16091-16107 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2020 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-04761-6Full text available |
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13 |
Material Type: Article
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Deep learning for prediction of depressive symptoms in a large textual datasetNeural computing & applications, 2022, Vol.34 (1), p.721-744 [Peer Reviewed Journal]The Author(s) 2021 ;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. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-06426-4Full text available |
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14 |
Material Type: Article
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Monarch butterfly optimizationNeural computing & applications, 2019-07, Vol.31 (7), p.1995-2014 [Peer Reviewed Journal]The Natural Computing Applications Forum 2015 ;Neural Computing and Applications is a copyright of Springer, (2015). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-015-1923-yFull text available |
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15 |
Material Type: Article
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A dynamic ensemble learning algorithm for neural networksNeural computing & applications, 2020-06, Vol.32 (12), p.8675-8690 [Peer Reviewed Journal]The Author(s) 2019 ;The Author(s) 2019. 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. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04359-7Full text available |
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16 |
Material Type: Article
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Genetic algorithm-optimized multi-channel convolutional neural network for stock market predictionNeural computing & applications, 2020-06, Vol.32 (12), p.7897-7914 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04236-3Full text available |
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17 |
Material Type: Article
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Grey wolf optimizer: a review of recent variants and applicationsNeural computing & applications, 2018-07, Vol.30 (2), p.413-435 [Peer Reviewed Journal]The Natural Computing Applications Forum 2017 ;Copyright Springer Science & Business Media 2018 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-017-3272-5Full text available |
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18 |
Material Type: Article
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Prediction of energy photovoltaic power generation based on artificial intelligence algorithmNeural computing & applications, 2021-02, Vol.33 (3), p.821-835 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05249-zFull text available |
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19 |
Material Type: Article
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Feature selection via a novel chaotic crow search algorithmNeural computing & applications, 2019-01, Vol.31 (1), p.171-188 [Peer Reviewed Journal]The Natural Computing Applications Forum 2017 ;Copyright Springer Nature B.V. 2019 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-017-2988-6Full text available |
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20 |
Material Type: Article
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Evolutionary algorithms and their applications to engineering problemsNeural computing & applications, 2020-08, Vol.32 (16), p.12363-12379 [Peer Reviewed Journal]The Author(s) 2020 ;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. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-04832-8Full text available |