Optimisation of Temperature Fields of Microsystems with Self-Organising Neural Nets
| Autor: | Andrzej Kos, Piotr Bratek |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Very-large-scale integration
Self-organization Artificial neural network Computer science Process (computing) Control engineering Integrated circuit computer.software_genre Electronic Optical and Magnetic Materials law.invention law Distributed parameter system Hardware_INTEGRATEDCIRCUITS Systems design Computer Aided Design lcsh:Electrical engineering. Electronics. Nuclear engineering Electrical and Electronic Engineering lcsh:TK1-9971 computer Algorithm |
| Zdroj: | Active and Passive Electronic Components, Vol 26, Iss 3, Pp 141-149 (2003) |
| ISSN: | 1563-5031 0882-7516 |
| Popis: | Thermal modelling and optimisation of parameter distributed systems is a rather time-consuming process. In this paper the problem of optimisation of temperature fields of VLSI circuits and systems is attacked by a selforganising neural net. The net directly solves the task generated by a heuristic algorithm. No physical model of thermal phenomena is used. The proposed method is simple. Some examples and statistical results are presented. The proposed method is addressed mostly to large, high-speed system designs. |
| Databáze: | OpenAIRE |
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