dc.contributor.author | CĂRBUNE, Viorel | |
dc.date.accessioned | 2020-11-24T09:57:26Z | |
dc.date.available | 2020-11-24T09:57:26Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | CĂRBUNE, Viorel. Arhitecturi hardware adaptive pentru sisteme neuro-fuzzy cu autoorganizare: spec.: 232.01 - Sisteme de conducere, calculatoare şi reţele informaţionale: tz. doct. în șt. inginerești. Cond. şt. Zaporojan Sergiu. Chişinău, 2020. 157 p. | en_US |
dc.identifier.uri | http://repository.utm.md/handle/5014/11705 | |
dc.description | Manuscris | en_US |
dc.description.abstract | Scopul lucrării constă în dezvoltarea unor noi modele, metode și algoritmi de extragere a cunoștințelor expertului uman, elaborarea arhitecturilor hardware adaptive pentru cercetarea proceselor decizionale și construirea sistemelor de suport decizional în aplicații industriale. Obiectivele cercetării includ analiza aspectelor generale ale sistemelor neuro-fuzzy, metodelor de extragere a cunoștințelor, cercetarea și dezvoltarea metodelor și algoritmilor de suport decizional, proiectarea, simularea și analiza arhitecturilor hardware adaptive. | en_US |
dc.description.abstract | The purpose of research consists in development of new models, methods and algorithms for extracting human expert knowledge, developing adaptive hardware architectures for researching decision-making processes and building decision support systems in industrial applications. The research objectives include the analysis of general aspects of neuro-fuzzy systems, knowledge extraction methods, research and development of decision support methods and algorithms, design, simulation and analysis of adaptive hardware architectures. | en |
dc.description.abstract | Область исследования касается теоретических и практических методов извлечения знаний у оператора. Целью работы является развитие и разработка новых методов и алгоритмов, позволяющих извлекать и перенимать опыт оператора, разработка адаптивных архитектур для исследования процессов принятия решений и построения систем поддержки принятия решений в промышленных приложениях. | ru |
dc.language.iso | ro | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | sisteme neuro-fuzzy | en_US |
dc.subject | aplicații industriale | en_US |
dc.subject | arhitecturi hardware | en_US |
dc.subject | hardware architectures | en_US |
dc.subject | neuro-fuzzy systems | en_US |
dc.subject | industrial applications | en_US |
dc.subject | нейро-нечеткие системы | en_US |
dc.subject | адаптивные архитектуры | en_US |
dc.subject | промышленные приложения | en_US |
dc.title | Arhitecturi hardware adaptive pentru sisteme neuro-fuzzy cu autoorganizare | en_US |
dc.title.alternative | Adaptive hardware architectures for neuro-fuzzy systems with self-organization | en_US |
dc.title.alternative | Адаптивные аппаратные архитектуры для нейро-нечетких систем с самоорганизацией | en_US |
dc.type | Thesis | en_US |
The following license files are associated with this item: