Stojanov, Done and Veta Buralieva, Jasmina and Velinov, Aleksandar (2020) An Implementation of a Generic Scheme of an Artificial Neural Network and the Backpropagation algorithm in C++. In: XI International Conference of Information Technology and Development of Education ITRO 2020, 30 Oct 2020, Republic of Serbia.
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Abstract
Due to the learning capabilities of artificial
neural networks (ANNs), they are commonly used for
solving complex problems, such as: prediction, optimization,
approximation and recognition. To be able to solve such
complex problems, an artificial neural network (ANN) has
to be trained. The commonly used algorithm for that
purpose is the backpropagation algorithm, which is a
supervised learning approach. Therefore in this paper we
present a generic scheme of one-layer artificial neural
network and we apply the backpropagation algorithm. To
carry out an analysis, we coded the structure of the artificial
neural network and the backpropagation algorithm in C++.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Done Stojanov |
| Date Deposited: | 26 Jan 2021 12:43 |
| Last Modified: | 26 Jan 2021 12:43 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/27254 |
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