On the issue of application of cellular automata and neural networks methods in VLSI design

被引：0
作者：
Stempkovsky A.L. [1 ]
Gavrilov S.V. [1 ]
Matyushkin I.V. [1 ]
Teplov G.S. [1 ]
机构：
[1] Institute for Design Problems in Microelectronics of Russian Academy of Sciences (IPPM RAS), Moscow
来源：
Optical Memory and Neural Networks | 2016年 / 25卷 / 2期
关键词：
cellular automata; evolutionary modelling; neural networks; selection; VLSI design;
D O I：
10.3103/S1060992X16020065
中图分类号：
学科分类号：
摘要：
Comparative analysis of applications of two conceptually similar methods used for VLSI design is performed. The models are the cellular automata and the neural networks Specific features of each method are particularized. For the first time the end-to-end strategy of application of the cellular automata for the whole design flow correlating with block-hierarchical approach is proposed. © 2016, Allerton Press, Inc.
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页码：72 / 78
页数：6
相关论文
共 24 条
  • [1] Stempkovsky A.L., Vlasov P.A., Kozin G.V., Algorithmic environment for VLSI design on cellular automata, Proc. Joint Symposium: Information Processing and Software, Systems Design Automation, Academy of Sciences of the USSR, pp. 308-312, (1990)
  • [2] Hafid Zaabab A., Qi-Jun Z., Nakhla M., A neural network modeling approach to circuit optimization and statistical design, Proc. IEEE Transactions on Microwave Theory and Techniques, 43, 6, pp. 1349-1358, (1995)
  • [3] Creech G.L., Paul B.J., Lesniak C.D., Jenkins T.J., Calcatera M.C., Artificial neural networks for fast and accurate EM-CAD of microwave circuits, Proc. IEEE Transactions on Microwave Theory and Techniques, 45, 5, pp. 794-802, (1997)
  • [4] Kim Y., Keely S., Ghosh J., Ling H., Application of artificial neural networks to broadband antenna design based on a parametric frequency model, Proc. IEEE Transactions on Antennas and Propagation, 55, 3, pp. 669-674, (2007)
  • [5] Wang F., Devabhaktuni V.K., Zhang Q.-J., A hierarchical neural network approach to the development of a library of neural models for microwave design, Proc. IEEE Transactions on Microwave Theory and Techniques, 46, 12, pp. 2391-2403, (1998)
  • [6] Smith K.A., Neural networks for combinatorial optimization: a review of more than a decade of research, Informs Journal on Computing, 11, 1, pp. 15-34, (1999)
  • [7] Jose E.R.-S., EM-Based optimization of microwave circuits using artificial neural networks: The State-of-the-Art, Proc. IEEE Transactions on Microwave Theory and Techniques, 52, 1, pp. 420-435, (2004)
  • [8] Chakraborty M., Artificial neural network for performance modeling and optimization of CMOS analog circuits, International Journal of Computer Applications (0975–8887), 58, 18, pp. 6-12, (2012)
  • [9] Djeffal F., Dibi Z., Hafiane M.L., Arar D., Design and simulation of a nanoelectronic DGMOSFET current source using artificial neural networks, Materials Science and Engineering C 27, pp. 1111-1116, (2007)
  • [10] Nihan K., Tulay Y., Technology independent circuit sizing for fundamental analog circuits using artificial neural networks, pp. 1-4, (2008)
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