메뉴 건너뛰기




Volumn , Issue , 2010, Pages 71-76

An analog VLSI multilayer perceptron and its application towards built-in self-test in analog circuits

Author keywords

[No Author keywords available]

Indexed keywords

ANALOG VLSI; BUTTERWORTH FILTER; COMPUTATIONAL TIME; FAULTY CIRCUITS; HARDWARE NEURAL NETWORKS; LOW-POWER CONSUMPTION; MULTI LAYER PERCEPTRON; PROOF OF CONCEPT; RE-CONFIGURABLE; TRAINING ALGORITHMS; WEIGHT PERTURBATION;

EID: 77957989014     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IOLTS.2010.5560230     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 1
    • 3142733715 scopus 로고    scopus 로고
    • Feature extraction based builtin alternate test of RF components using a noise reference
    • S. S. Akbay and A. Chatterjee, "Feature extraction based builtin alternate test of RF components using a noise reference," in IEEE VLSI Test Symposium, 2004, pp. 273-278.
    • (2004) IEEE VLSI Test Symposium , pp. 273-278
    • Akbay, S.S.1    Chatterjee, A.2
  • 2
    • 84886537863 scopus 로고    scopus 로고
    • Built-in test of RF components using mapped feature extraction sensors
    • S. S. Akbay and A. Chatterjee, "Built-in test of RF components using mapped feature extraction sensors," in IEEE VLSI Test Symposium, 2005, pp. 243-248.
    • (2005) IEEE VLSI Test Symposium , pp. 243-248
    • Akbay, S.S.1    Chatterjee, A.2
  • 3
    • 33846905331 scopus 로고    scopus 로고
    • Robust built-in test of RF ICs using envelope detectors
    • D. Han and A. Chatterjee, "Robust built-in test of RF ICs using envelope detectors," in IEEE Asian Test Symposium, 2005, pp. 2-7.
    • (2005) IEEE Asian Test Symposium , pp. 2-7
    • Han, D.1    Chatterjee, A.2
  • 5
    • 33751091542 scopus 로고    scopus 로고
    • Bridging the accuracy of functional and machine-learning-based mixed-signal testing
    • H.-G. D. Stratigopoulos and Y. Makris, "Bridging the accuracy of functional and machine-learning-based mixed-signal testing," in IEEE VLSI Test Symposium, 2006, pp. 406-411.
    • (2006) IEEE VLSI Test Symposium , pp. 406-411
    • Stratigopoulos, H.-G.D.1    Makris, Y.2
  • 8
    • 0026868153 scopus 로고
    • Analog CMOS implementation of a multilayer perceptron with nonlinear synapses
    • J. Lont and W. Guggenbuhl, "Analog CMOS implementation of a multilayer perceptron with nonlinear synapses," IEEE Transactions on Neural Networks, vol. 3, no. 3, pp. 457-465, 1992.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.3 , pp. 457-465
    • Lont, J.1    Guggenbuhl, W.2
  • 9
    • 0242611592 scopus 로고    scopus 로고
    • Analog implementation of ANN with inherent quadratic nonlinearity of the synapses
    • M. Milev and M. Hristov, "Analog implementation of ANN with inherent quadratic nonlinearity of the synapses," IEEE Transactions on Neural Networks, vol. 14, no. 5, pp. 1187-1200, 2003.
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.5 , pp. 1187-1200
    • Milev, M.1    Hristov, M.2
  • 10
    • 0024909727 scopus 로고
    • An electrically trainable artificial neural network (ETANN) with 10240 floating gate synapses
    • S. Tam and M. Holler, "An electrically trainable artificial neural network (ETANN) with 10240 floating gate synapses," in Procedings of International Joint Conference on Neural Networks, 1989, pp. 191-196.
    • (1989) Procedings of International Joint Conference on Neural Networks , pp. 191-196
    • Tam, S.1    Holler, M.2
  • 11
    • 0031095256 scopus 로고    scopus 로고
    • Toward a general-purpose analog VLSI neural network with on-chip learning
    • PII S104592279701758X
    • A. Montalvo, "Toward a general-purpose analog VLSI neural network with on-chip learning," IEEE Transactions on Neural Networks, vol. 8, no. 2, pp. 413-423, 1997. (Pubitemid 127765134)
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.2 , pp. 413-423
    • Montalvo, A.J.1    Gyurcsik, R.S.2    Paulos, J.J.3
  • 12
    • 0026712578 scopus 로고
    • Weight perturbation: An optimal architecture and learning technique for analog VLSI feedforward and recurrent neural networks
    • M. Jabri and B. Flower, "Weight perturbation: an optimal architecture and learning technique for analog VLSI feedforward and recurrent neural networks," IEEE Transactions on Neural Networks, vol. 3, no. 1, pp. 154-157, 1992.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.1 , pp. 154-157
    • Jabri, M.1    Flower, B.2
  • 13
    • 0036579973 scopus 로고    scopus 로고
    • Analog VLSI neural network with digital perturbative learning
    • V. F. Koosh and R. M. Goodmanr, "Analog VLSI neural network with digital perturbative learning," IEEE Transactions on Circuits and Systems - II, vol. 49, no. 5, pp. 359-368, 2002.
    • (2002) IEEE Transactions on Circuits and Systems - II , vol.49 , Issue.5 , pp. 359-368
    • Koosh, V.F.1    Goodmanr, R.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.