A four-quadrant subthreshold mode multiplier for analog neural-network applications

D. Coue; G. Wilson

doi:10.1109/72.536315

A four-quadrant subthreshold mode multiplier for analog neural-network applications

IEEE Transactions on Neural Networks ◽

10.1109/72.536315 ◽

1996 ◽

Vol 7 (5) ◽

pp. 1212-1219 ◽

Cited By ~ 35

Author(s):

D. Coue ◽

G. Wilson

Keyword(s):

Neural Network ◽

Network Applications ◽

Four Quadrant ◽

Neural Network Applications ◽

Analog Neural Network

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Low voltage low power CMOS four-quadrant analog multiplier for neural network applications

1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96 ◽

10.1109/iscas.1996.539993 ◽

2002 ◽

Cited By ~ 10

Author(s):

G. Colli ◽

F. Montecchi

Keyword(s):

Neural Network ◽

Low Power ◽

Low Voltage ◽

Analog Multiplier ◽

Network Applications ◽

Low Power Cmos ◽

Four Quadrant ◽

Neural Network Applications

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Neural Network Applications in Control

10.1049/pbce053e ◽

1995 ◽

Cited By ~ 70

Keyword(s):

Neural Network ◽

Network Applications ◽

Neural Network Applications

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Neural Network Applications: A Literature Review

10.21236/ada258148 ◽

1992 ◽

Author(s):

Vince L. Wiggins ◽

Sheree K. Engquist ◽

Larry T. Looper

Keyword(s):

Neural Network ◽

Literature Review ◽

Network Applications ◽

Neural Network Applications

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Phase‐Transition‐Induced VO 2 Thin Film IR Photodetector and Threshold Switching Selector for Optical Neural Network Applications

Advanced Electronic Materials ◽

10.1002/aelm.202001254 ◽

2021 ◽

pp. 2001254

Author(s):

Xi Zhou ◽

Liang Zhao ◽

Weili Zhen ◽

Yinyue Lin ◽

Chunlin Wang ◽

...

Keyword(s):

Neural Network ◽

Thin Film ◽

Phase Transition ◽

Network Applications ◽

Threshold Switching ◽

Optical Neural Network ◽

Neural Network Applications

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Hierarchical Approximate Memory for Deep Neural Network Applications

2020 54th Asilomar Conference on Signals, Systems, and Computers ◽

10.1109/ieeeconf51394.2020.9443540 ◽

2020 ◽

Author(s):

Minho Ha ◽

Seokha Hwang ◽

Jeonghun Kim ◽

Youngjoo Lee ◽

Sunggu Lee

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Network Applications ◽

Neural Network Applications

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Artificial neural network applications in fiber reinforced concrete

Journal of Physics Conference Series ◽

10.1088/1742-6596/1706/1/012113 ◽

2020 ◽

Vol 1706 ◽

pp. 012113

Author(s):

P Sangeetha ◽

M Shanmugapriya

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Reinforced Concrete ◽

Fiber Reinforced Concrete ◽

Fiber Reinforced ◽

Network Applications ◽

Artificial Neural ◽

Neural Network Applications

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Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements

Neural Networks ◽

10.1016/s0893-6080(03)00027-3 ◽

2003 ◽

Vol 16 (3-4) ◽

pp. 321-334 ◽

Cited By ~ 85

Author(s):

Vladimir M. Krasnopolsky ◽

Helmut Schiller

Keyword(s):

Neural Network ◽

Inverse Problems ◽

Environmental Sciences ◽

Network Applications ◽

Remote Measurements ◽

Neural Network Applications

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Fuzzy neural network applications to power systems

2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077) ◽

10.1109/pesw.2000.850130 ◽

2002 ◽

Cited By ~ 5

Author(s):

H. Mori

Keyword(s):

Neural Network ◽

Power Systems ◽

Fuzzy Neural Network ◽

Network Applications ◽

Fuzzy Neural ◽

Neural Network Applications

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Strategies for developing effective neural network applications

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan) ◽

10.1109/ijcnn.1993.713845 ◽

2005 ◽

Cited By ~ 2

Author(s):

D.E. Rumelhart

Keyword(s):

Neural Network ◽

Network Applications ◽

Neural Network Applications

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Soft computing for qualitative and quantitative seismic object and reservoir property prediction. Part 1: Neural network applications

First Break ◽

10.3997/1365-2397.22.3.25812 ◽

2004 ◽

Vol 22 (3) ◽

Author(s):

F. Aminzadeh ◽

P. de Groot

Keyword(s):

Neural Network ◽

Soft Computing ◽

Property Prediction ◽

Qualitative And Quantitative ◽

Network Applications ◽

Reservoir Property ◽

Neural Network Applications

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