Self-organising map as a tool of modelling the design parameters of microelectronics devices for ensuring the specified temperature condition

dc.contributor.authorBilas, O.
dc.contributor.authorLevus, E.
dc.contributor.authorYakovyna, V.
dc.date.accessioned2015-01-20T11:01:55Z
dc.date.available2015-01-20T11:01:55Z
dc.date.issued2006
dc.description.abstractUsing Kohonen maps the analysis and visualisation of thermal management task for flip-chip microelectronic devices have been carried out. The advantages of neural networks techniques over most common ones are demonstrated. The technique is very promising for making a prediction of device parameters for ensuring the specified temperature conditions.uk_UA
dc.identifier.citationBilas O. Self-organising map as a tool of modelling the design parameters of microelectronics devices for ensuring the specified temperature condition / O. Bilas, E. Levus, V. Yakovyna // Computer science and information technologies : proceedings of the international conference (September 28th-30th, Lviv, Ukraine) / Lviv Polytechnic National University, Institute of Computer Science and Information Technologies. – Lviv, 2006. – P. 74–76. – Bibliography: 6 titles.uk_UA
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/26018
dc.language.isoenuk_UA
dc.publisherУкраїнські технологіїuk_UA
dc.subjectthermal designuk_UA
dc.subjectflip-chipuk_UA
dc.subjectthermal managementuk_UA
dc.subjectMEDuk_UA
dc.subjectneural networkuk_UA
dc.subjectself-organizing mapuk_UA
dc.titleSelf-organising map as a tool of modelling the design parameters of microelectronics devices for ensuring the specified temperature conditionuk_UA
dc.typeArticleuk_UA

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