| Issue |
MATEC Web Conf.
Volume 357, 2022
25th Polish-Slovak Scientific Conference on Machine Modelling and Simulations (MMS 2020)
|
|
|---|---|---|
| Article Number | 08002 | |
| Number of page(s) | 8 | |
| Section | Theoretical and Applied Mathematics in Engineering | |
| DOI | https://doi.org/10.1051/matecconf/202235708002 | |
| Published online | 22 June 2022 | |
Finding input-output dependencies of feed forward neural networks
University of Žilina, Faculty of Mechanical Engineering, Department of Automation and Production Systems, Univerzitná 1, 010 26 Žilina, Slovak Republic
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.
© The Authors, published by EDP Sciences, 2022
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