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Volumn 3994 LNCS - IV, Issue , 2006, Pages 615-622

Neural network based MOS transistor geometry decision for TSMC 0.18μ process technology

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; ELECTRIC POTENTIAL; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR EQUATIONS; TRANSISTORS;

EID: 33746634313     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11758549_84     Document Type: Conference Paper
Times cited : (11)

References (11)
  • 1
    • 31744434103 scopus 로고    scopus 로고
    • Neural network based MOSFET channel length and width decision method for analogue integrated circuits
    • May
    • Avci, M., Babac, M. Y., Yildirim, T.,: Neural Network Based MOSFET Channel Length and Width Decision Method for Analogue Integrated Circuits, International Journal of Electronics, Vol. 92, No. 5, May 2005, 281-293
    • (2005) International Journal of Electronics , vol.92 , Issue.5 , pp. 281-293
    • Avci, M.1    Babac, M.Y.2    Yildirim, T.3
  • 2
    • 31744442465 scopus 로고    scopus 로고
    • Neural network based transistor modeling and aspect ratio estimation for YITAL 1.5 D process
    • Bursa, Turkey
    • Avci, M., Babac, M. Y., Yildirim, T.,: Neural Network Based Transistor Modeling and Aspect Ratio Estimation for YITAL 1.5 D process, ELECO 2003, International Conference Proceedings, Bursa, Turkey, 2003, pp. 54-57
    • (2003) ELECO 2003, International Conference Proceedings , pp. 54-57
    • Avci, M.1    Babac, M.Y.2    Yildirim, T.3
  • 3
    • 0030086742 scopus 로고    scopus 로고
    • Signal-noise neural network model for active microwave devices, circuits devices and systems
    • Gunes, F., Gurgen, F., Torpi, H.: Signal-Noise Neural Network Model for Active Microwave Devices, Circuits Devices and Systems, Vol. 143. IEE Proceedings (1996) 1-8
    • (1996) IEE Proceedings , vol.143 , pp. 1-8
    • Gunes, F.1    Gurgen, F.2    Torpi, H.3
  • 4
    • 0032046095 scopus 로고    scopus 로고
    • Multidimensional signal-noise neural network model, circuits devices and systems
    • Gunes, F., Torpi, H., Gurgen, F.: Multidimensional Signal-Noise Neural Network Model, Circuits Devices and Systems, Vol. 145. IEE Proceedings (1998) 111-117
    • (1998) IEE Proceedings , vol.145 , pp. 111-117
    • Gunes, F.1    Torpi, H.2    Gurgen, F.3
  • 5
    • 0033347349 scopus 로고    scopus 로고
    • Modelling of active microwave transistors using artificial neural networks
    • IEEE publication, Washington
    • Yildirim, T., Torpi, H., Özyilmaz, L.: Modelling of Active Microwave Transistors Using Artificial Neural Networks, Proceedings of IJCNN'99 Int. Joint Conf. on Neural Networks, Vol. 6. IEEE publication, Washington (1999) 3988-3991
    • (1999) Proceedings of IJCNN'99 Int. Joint Conf. on Neural Networks , vol.6 , pp. 3988-3991
    • Yildirim, T.1    Torpi, H.2    Özyilmaz, L.3
  • 6
    • 0343526768 scopus 로고    scopus 로고
    • Neural network modeling of active devices for use in MMIC design
    • Elsevier
    • Gunes, F., Torpi, H., Çetiner, B.A.: Neural Network Modeling of Active Devices for Use in MMIC Design, Artificial Intelligence in Engineering, Vol. 13. Elsevier (1999) 385-392
    • (1999) Artificial Intelligence in Engineering , vol.13 , pp. 385-392
    • Gunes, F.1    Torpi, H.2    Çetiner, B.A.3
  • 7
    • 0029378654 scopus 로고
    • Artificial neural networks as aid in circuit design
    • Kothapalli, G. M.,: Artificial Neural Networks as Aid in Circuit Design, Microelectronics Journal, 26, 1995, 569-578
    • (1995) Microelectronics Journal , vol.26 , pp. 569-578
    • Kothapalli, G.M.1
  • 8
    • 31744431641 scopus 로고    scopus 로고
    • Towards a silicon primordial soup: A fast approach to hardware evaluation with a VLSI transistor array
    • ICES 2000
    • Langenheine, J., Folling, S., Meier, K., Schemmel, J.: Towards a Silicon Primordial Soup: A Fast Approach to Hardware Evaluation with a VLSI Transistor Array, ICES 2000, LNCS 1801, 2000, 123-132
    • (2000) LNCS , vol.1801 , pp. 123-132
    • Langenheine, J.1    Folling, S.2    Meier, K.3    Schemmel, J.4
  • 11
    • 0026899732 scopus 로고
    • A constructive method for multivariate function approximation by multilayer perceptrons
    • Geva, S., Sitte, J.: A Constructive Method for Multivariate Function Approximation by Multilayer Perceptrons, IEEE Transactions on Neural Networks, Vol. 3 (4) (1992) 623-624
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.4 , pp. 623-624
    • Geva, S.1    Sitte, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.