Self-organising map as a tool of modelling the design parameters of microelectronics devices for ensuring the specified temperature condition
dc.contributor.author | Bilas, O. | |
dc.contributor.author | Levus, E. | |
dc.contributor.author | Yakovyna, V. | |
dc.date.accessioned | 2015-01-20T11:01:55Z | |
dc.date.available | 2015-01-20T11:01:55Z | |
dc.date.issued | 2006 | |
dc.description.abstract | Using 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.citation | Bilas 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.uri | https://ena.lpnu.ua/handle/ntb/26018 | |
dc.language.iso | en | uk_UA |
dc.publisher | Українські технології | uk_UA |
dc.subject | thermal design | uk_UA |
dc.subject | flip-chip | uk_UA |
dc.subject | thermal management | uk_UA |
dc.subject | MED | uk_UA |
dc.subject | neural network | uk_UA |
dc.subject | self-organizing map | uk_UA |
dc.title | Self-organising map as a tool of modelling the design parameters of microelectronics devices for ensuring the specified temperature condition | uk_UA |
dc.type | Article | uk_UA |