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| Ultima descărcare din IBN: 2023-07-18 18:50 |
 SM ISO690:2012ION, Stelian, MARINESCU, Dorin, CRUCEANU, Ștefan-Gicu. How to build up an Artificial Neural Network in C. In: Conference on Applied and Industrial Mathematics: CAIM 2022, Ed. 29, 25-27 august 2022, Chişinău. Chișinău, Republica Moldova: Casa Editorial-Poligrafică „Bons Offices”, 2022, Ediţia a 29, p. 177. ISBN 978-9975-81-074-6. |
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| Conference on Applied and Industrial Mathematics Ediţia a 29, 2022 |
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Conferința "Conference on Applied and Industrial Mathematics" 29, Chişinău, Moldova, 25-27 august 2022 | ||||||
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| Pag. 177-177 | ||||||
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From a mathematical point of view, Artificial Neural Networks (ANNs) are a class of artificial intelligence algorithms aimed to • find patterns in a large data base, • approximate differential equations, • reconstruct the functions from scatter data etc. The main feature of an ANN model is the ability to think: to interpret data accounting for context. Nowadays, there is a multitude of software tools that implement ANNs, but most of them hide the mathematical background. In this paper, we discuss the mathematical tools needed to build up an ANN software using C-language. |
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