Realization of Monoplan, NetLines, NetSphere algorithms
| dc.contributor.author | Bazatbekov B. | |
| dc.date.accessioned | 2025-06-12T04:08:54Z | |
| dc.date.available | 2025-06-12T04:08:54Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | In this work, I consider a learning algorithmis for classification tasks, called Monoplane, NetLines and NetSphere, which are all adapted for binary real input patterns. Algorithms generally helpful in classification data by self-constructing neural network, it generates new neurons to fix previous errors and stop new compilations when the output will have minimum error percent. To make realization of algorithms, that automatically construct neural networks by using appropriate methods, like backpropagation, gradient boosting, perceprtons, adaptive boosting and e.t.c To use algorithms (Monoplane, NetLines, NetSphere) to make classification of data by self-constructing neural networks. | |
| dc.identifier.citation | Bazatbekov B / Realization of Monoplan, NetLines, NetSphere algorithms / 6M060100- Department of Mathematics and Natural Sciences / 2019 | |
| dc.identifier.uri | https://repository.sdu.edu.kz/handle/123456789/1753 | |
| dc.language.iso | en | |
| dc.publisher | Faculty of Engineering and Natural Sciences | |
| dc.subject | Monoplan | |
| dc.subject | NetLine | |
| dc.subject | Neural network theory | |
| dc.title | Realization of Monoplan, NetLines, NetSphere algorithms | |
| dc.type | Thesis |