| dc.contributor.author | Golovko, Vladimir | |
| dc.coverage.spatial | Lviv | ru_RU |
| dc.date.accessioned | 2023-12-06T08:03:15Z | |
| dc.date.available | 2023-12-06T08:03:15Z | |
| dc.date.issued | 2003 | |
| dc.identifier.citation | Golovko, V. Estimation the Lyapunov Spectrum from One-Dimensional Observation Using Neural Networks / Vladimir Golovko // Proceeding of the Second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications : IDAACS’2003, Lviv, September 8–10, 2003 / Institute of computer information technologies [et. al]. – Lviv : Lviv polytechnic, 2003. – P. 95–98 : il. – Bibliogr.: p. 98 (5 titles). | ru_RU |
| dc.identifier.uri | https://rep.bstu.by/handle/data/37551 | |
| dc.description | Головко Владимир Адамович. Оценка спектра Ляпунова по результатам одномерного наблюдения с использованием нейронных сетей | ru_RU |
| dc.description.abstract | This paper discusses the neural network approach for computing of Lyapunov spectrum using one dimensional time series from unknown dynamical system. Such an approach is based on the reconstruction of attractor dynamics and applying of multilayer perceptron (MLP) for forecasting the next state of dynamical system from the previous one. It allows for evaluating the Lyapunov spectrum of unknown dynamical system accurately and efficiently only by using one observation. The results of experiments are discussed. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | Lviv polytechnic | ru_RU |
| dc.subject | Lyapunov spectrum | ru_RU |
| dc.subject | спектр Ляпунова | ru_RU |
| dc.subject | Multilayer Neural Networks | ru_RU |
| dc.subject | многослойные нейронные сети | ru_RU |
| dc.subject | chaotic processes | ru_RU |
| dc.subject | хаотические процессы | ru_RU |
| dc.subject | dynamical system | ru_RU |
| dc.subject | динамическая система | ru_RU |
| dc.title | Estimation the Lyapunov Spectrum from One-Dimensional Observation Using Neural Networks | ru_RU |
| dc.title.alternative | Оценка спектра Ляпунова по результатам одномерного наблюдения с использованием нейронных сетей | ru_RU |
| dc.type | Научный доклад (Working Paper) | ru_RU |
