Finding input-output dependencies of feed forward neural networks
In this paper we are finding input-output dependencies of feed-forward neural network which usually behaves as black box. It is very important and difficult to find or evaluate those dependencies especially for multi-input/output data approximation. We will use small neural network which will be tra...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2022-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2022/04/matecconf_mms2020_08002.pdf |
| _version_ | 1818217737002942464 |
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| author | Stenchlák Vladimír Kuric Ivan Bencel Andrej |
| author_facet | Stenchlák Vladimír Kuric Ivan Bencel Andrej |
| author_sort | Stenchlák Vladimír |
| collection | DOAJ |
| description | In this paper we are finding input-output dependencies of feed-forward neural network which usually behaves as black box. It is very important and difficult to find or evaluate those dependencies especially for multi-input/output data approximation. We will use small neural network which will be trained on a given data in MATLAB Mathworks. Network will be simulated in standalone .NET application. |
| first_indexed | 2024-12-12T07:12:37Z |
| format | Article |
| id | doaj.art-8f21d9a856ca493895c501686d5b5b5d |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-12T07:12:37Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-8f21d9a856ca493895c501686d5b5b5d2022-12-22T00:33:35ZengEDP SciencesMATEC Web of Conferences2261-236X2022-01-013570800210.1051/matecconf/202235708002matecconf_mms2020_08002Finding input-output dependencies of feed forward neural networksStenchlák Vladimír0https://orcid.org/0000-0001-9993-7554Kuric Ivan1https://orcid.org/0000-0003-0267-786XBencel Andrej2https://orcid.org/0000-0002-6917-4290University of Žilina, Faculty of Mechanical Engineering, Department of Automation and Production SystemsUniversity of Žilina, Faculty of Mechanical Engineering, Department of Automation and Production SystemsUniversity of Žilina, Faculty of Mechanical Engineering, Department of Automation and Production SystemsIn this paper we are finding input-output dependencies of feed-forward neural network which usually behaves as black box. It is very important and difficult to find or evaluate those dependencies especially for multi-input/output data approximation. We will use small neural network which will be trained on a given data in MATLAB Mathworks. Network will be simulated in standalone .NET application.https://www.matec-conferences.org/articles/matecconf/pdf/2022/04/matecconf_mms2020_08002.pdf |
| spellingShingle | Stenchlák Vladimír Kuric Ivan Bencel Andrej Finding input-output dependencies of feed forward neural networks MATEC Web of Conferences |
| title | Finding input-output dependencies of feed forward neural networks |
| title_full | Finding input-output dependencies of feed forward neural networks |
| title_fullStr | Finding input-output dependencies of feed forward neural networks |
| title_full_unstemmed | Finding input-output dependencies of feed forward neural networks |
| title_short | Finding input-output dependencies of feed forward neural networks |
| title_sort | finding input output dependencies of feed forward neural networks |
| url | https://www.matec-conferences.org/articles/matecconf/pdf/2022/04/matecconf_mms2020_08002.pdf |
| work_keys_str_mv | AT stenchlakvladimir findinginputoutputdependenciesoffeedforwardneuralnetworks AT kuricivan findinginputoutputdependenciesoffeedforwardneuralnetworks AT bencelandrej findinginputoutputdependenciesoffeedforwardneuralnetworks |