-
1
-
-
0000195442
-
Computer-Aided Design of Analog and Mixed-Signal Integrated Circuits
-
December
-
Georges. G.E. Gielen and Rob. A. Rutenbar. Computer-Aided Design of Analog and Mixed-Signal Integrated Circuits. Proceedings of the IEEE, Vol.88:pp.1825-1852, December 2000.
-
(2000)
Proceedings of the IEEE
, vol.88
, pp. 1825-1852
-
-
Georges, G.E.1
Gielen2
Rutenbar, R.A.3
-
2
-
-
46149125307
-
Automation in Mixed-Signal Design: Challenges and Solutions in the Wake of the Nano Era
-
In, November
-
T. McConaghy and G. Gielen. Automation in Mixed-Signal Design: Challenges and Solutions in the Wake of the Nano Era. In Proc. of ICCAD, pages 461-463, November 2006.
-
(2006)
Proc. of ICCAD
, pp. 461-463
-
-
McConaghy, T.1
Gielen, G.2
-
3
-
-
48949106187
-
Hierarchical Modeling, Optimization, and Synthesis for System-Level Analog and RF Designs
-
March
-
Rob.A. Rutenbar, Georges.G.E. Gielen, and J. Roychowdhury. Hierarchical Modeling, Optimization, and Synthesis for System-Level Analog and RF Designs. Proceedings of the IEEE, Vol.95:pp.640-669, March 2007.
-
(2007)
Proceedings of the IEEE
, vol.95
, pp. 640-669
-
-
Rutenbar, R.A.1
Georges, G.E.2
Roychowdhury, G.J.3
-
4
-
-
0037515539
-
Simulation-Based Generation of Posynomial Performance Models for the Sizing of Analog Integrated Circuits
-
May
-
W. Daems, G. Gielen, and W. Sansen. Simulation-Based Generation of Posynomial Performance Models for the Sizing of Analog Integrated Circuits. IEEE Trans. CADICS, Vol.22:pp.517-534, May 2003.
-
(2003)
IEEE Trans. CADICS
, vol.22
, pp. 517-534
-
-
Daems, W.1
Gielen, G.2
Sansen, W.3
-
5
-
-
33746634313
-
Neural Network Based MOS Transistor Geometry Decision for TSMC 0.18 Process Technology
-
In
-
M. Avci and T. Yildirim. Neural Network Based MOS Transistor Geometry Decision for TSMC 0.18 Process Technology. In Proc. of ICCS, pages 615-622, 2006.
-
(2006)
Proc. of ICCS
, pp. 615-622
-
-
Avci, M.1
Yildirim, T.2
-
6
-
-
0030086742
-
Signal-noise neural network model for active microwave devices
-
F. Gunes, F. Gurgen, and G. Torpi, H. Signal-noise neural network model for active microwave devices. IEE Proceedings Circuits Devices and Systems, Vol.143:pp.1-8, 1996.
-
(1996)
IEE Proceedings Circuits Devices and Systems
, vol.143
, pp. 1-8
-
-
Gunes, F.1
Gurgen, F.2
Torpi, H.G.3
-
7
-
-
51849090086
-
Technology Independent Circuit Sizing for Fundamental Analog Circuits using Artificial Neural Networks
-
In
-
N. Kahraman and T. Yildirim. Technology Independent Circuit Sizing for Fundamental Analog Circuits using Artificial Neural Networks. In Proc. of PRIME, pages 1-4, 2008.
-
(2008)
Proc. of PRIME
, pp. 1-4
-
-
Kahraman, N.1
Yildirim, T.2
-
8
-
-
67349086060
-
Technology independent circuit sizing for standard cell based design using neural network
-
N. Kahraman and T. Yildirim. Technology independent circuit sizing for standard cell based design using neural network. Digital Signal Processing, Vol.19:pp.708-714, 2009.
-
(2009)
Digital Signal Processing
, vol.19
, pp. 708-714
-
-
Kahraman, N.1
Yildirim, T.2
-
9
-
-
33846564341
-
An approach based on neural computation to simulate the nanoscale CMOS circuit
-
F. Djeffala, M. Chahdib, A. Benhayaa, and M.L. Hafianea. An approach based on neural computation to simulate the nanoscale CMOS circuit. Solid State Electronics, Vol.51:pp.48-56, 2007.
-
(2007)
Solid State Electronics
, vol.51
, pp. 48-56
-
-
Djeffala, F.1
Chahdib, M.2
Benhayaa, A.3
Hafianea, M.L.4
-
10
-
-
37249037028
-
ANN-and PSO-Based Synthesis of On-Chip Spiral Inductors for RF ICs
-
January
-
S.K. Mandal, S. Sural, and A. Patra. ANN-and PSO-Based Synthesis of On-Chip Spiral Inductors for RF ICs. IEEE Transaction CADICS, Vol.27:pp.188-192, January 2008.
-
(2008)
IEEE Transaction CADICS
, vol.27
, pp. 188-192
-
-
Mandal, S.K.1
Sural, S.2
Patra, A.3
-
13
-
-
0242698067
-
The Learning-Curve Sampling Method Applied to Model-Based Clustering
-
February
-
C. Meek, B. Thiesson, and D. Heckerman. The Learning-Curve Sampling Method Applied to Model-Based Clustering. Journal of Machine Learning Research, Vol.2:pp.397-418, February 2002.
-
(2002)
Journal of Machine Learning Research
, vol.2
, pp. 397-418
-
-
Meek, C.1
Thiesson, B.2
Heckerman, D.3
-
14
-
-
26944477389
-
A Dynamic Adaptive Sampling Algorithm for Real World Applications: Finger Print Recognition and Face Recognition
-
In
-
A. Satyanarayana and I. Davidson. A Dynamic Adaptive Sampling Algorithm for Real World Applications: Finger Print Recognition and Face Recognition. In Proc. of ISMIS, pages 631-640, 2005.
-
(2005)
Proc. of ISMIS
, pp. 631-640
-
-
Satyanarayana, A.1
Davidson, I.2
-
16
-
-
16244389968
-
Adaptive Sampling and Modeling of Analog Circuit Performance Parameters with Pseudo-Cubic Splines
-
931-836
-
G. Wolfe and R. Vemuri. Adaptive Sampling and Modeling of Analog Circuit Performance Parameters with Pseudo-Cubic Splines. In Proc. of ICCAD, pages 931-836, 2004.
-
(2004)
Proc. of ICCAD
-
-
Wolfe, G.1
Vemuri, R.2
-
17
-
-
80052179463
-
Performance Modeling of Nano-scale CMOS Inverter using Artificial Neural Network
-
In
-
D. Dhabak and S. Pandit. Performance Modeling of Nano-scale CMOS Inverter using Artificial Neural Network. In Proc. of IESPC, pages 33-36, 2011.
-
(2011)
Proc. of IESPC
, pp. 33-36
-
-
Dhabak, D.1
Pandit, S.2
-
18
-
-
0242586049
-
Artificial Neural Networks for RF and Microwave Design: From Theory to Practice
-
April
-
Q.J. Zhang, K.C. Gupta, and V.K. Devabhaktuni. Artificial Neural Networks for RF and Microwave Design: From Theory to Practice. IEEE Trans. MTT, Vol.51:1339-1350, April 2003.
-
(2003)
IEEE Trans. MTT
, vol.51
, pp. 1339-1350
-
-
Zhang, Q.J.1
Gupta, K.C.2
Devabhaktuni, V.K.3
-
19
-
-
33750600861
-
New Generation of Predictive Technology Model for Sub-45 nm Early Design Exploration
-
November
-
W. Zhao and Y. Cao. New Generation of Predictive Technology Model for Sub-45 nm Early Design Exploration. IEEE Transactions Electron Devices, Vol.53:pp.2816-2823, November 2006.
-
(2006)
IEEE Transactions Electron Devices
, vol.53
, pp. 2816-2823
-
-
Zhao, W.1
Cao, Y.2
-
21
-
-
0032295215
-
Modeling of Strength of High-Performance Concrete using Artificial Neural Network
-
I. C. Yeh. Modeling of Strength of High-Performance Concrete using Artificial Neural Network. Cement and Concrete Research, Vol.28:pp.1797-1808, 1998.
-
(1998)
Cement and Concrete Research
, vol.28
, pp. 1797-1808
-
-
Yeh, I.C.1
-
22
-
-
84857628247
-
-
http://archive.ics.uci.edu/ml/datasets/Concrete+Compressive+Strength.
-
-
-
|