This paper presents a neural circuit using PWM technique based on an analog-digital merged circuit architecture. Some new PWM circuit techniques are proposed. A bipolar-weighted summation circuit is described which attains 8-bit precision in SPICE simulation at 5 V supply voltage by compensating parasitic capacitance effects. A high performance differential-type latch comparator which can discriminate 1 mV difference at 100 MHz in SPICE simulation is also described. Next, we present a prototype chip fabricated using a 0.6µm CMOS process. The measurement results demonstrate that the overall precision in the weighted summation and the sigmoidal transformation is 5 bits. A neural network has been constructed using the prototype chips, and the experimental results for realizing the XOR function have successfully verified the basic neural operation.
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Takashi MORIE, Jun FUNAKOSHI, Makoto NAGATA, Atsushi IWATA, "An Analog-Digital Merged Neural Circuit Using Pulse Width Modulation Technique" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 2, pp. 356-363, February 1999, doi: .
Abstract: This paper presents a neural circuit using PWM technique based on an analog-digital merged circuit architecture. Some new PWM circuit techniques are proposed. A bipolar-weighted summation circuit is described which attains 8-bit precision in SPICE simulation at 5 V supply voltage by compensating parasitic capacitance effects. A high performance differential-type latch comparator which can discriminate 1 mV difference at 100 MHz in SPICE simulation is also described. Next, we present a prototype chip fabricated using a 0.6µm CMOS process. The measurement results demonstrate that the overall precision in the weighted summation and the sigmoidal transformation is 5 bits. A neural network has been constructed using the prototype chips, and the experimental results for realizing the XOR function have successfully verified the basic neural operation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_2_356/_p
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@ARTICLE{e82-a_2_356,
author={Takashi MORIE, Jun FUNAKOSHI, Makoto NAGATA, Atsushi IWATA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Analog-Digital Merged Neural Circuit Using Pulse Width Modulation Technique},
year={1999},
volume={E82-A},
number={2},
pages={356-363},
abstract={This paper presents a neural circuit using PWM technique based on an analog-digital merged circuit architecture. Some new PWM circuit techniques are proposed. A bipolar-weighted summation circuit is described which attains 8-bit precision in SPICE simulation at 5 V supply voltage by compensating parasitic capacitance effects. A high performance differential-type latch comparator which can discriminate 1 mV difference at 100 MHz in SPICE simulation is also described. Next, we present a prototype chip fabricated using a 0.6µm CMOS process. The measurement results demonstrate that the overall precision in the weighted summation and the sigmoidal transformation is 5 bits. A neural network has been constructed using the prototype chips, and the experimental results for realizing the XOR function have successfully verified the basic neural operation.},
keywords={},
doi={},
ISSN={},
month={February},}
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TY - JOUR
TI - An Analog-Digital Merged Neural Circuit Using Pulse Width Modulation Technique
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 356
EP - 363
AU - Takashi MORIE
AU - Jun FUNAKOSHI
AU - Makoto NAGATA
AU - Atsushi IWATA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 1999
AB - This paper presents a neural circuit using PWM technique based on an analog-digital merged circuit architecture. Some new PWM circuit techniques are proposed. A bipolar-weighted summation circuit is described which attains 8-bit precision in SPICE simulation at 5 V supply voltage by compensating parasitic capacitance effects. A high performance differential-type latch comparator which can discriminate 1 mV difference at 100 MHz in SPICE simulation is also described. Next, we present a prototype chip fabricated using a 0.6µm CMOS process. The measurement results demonstrate that the overall precision in the weighted summation and the sigmoidal transformation is 5 bits. A neural network has been constructed using the prototype chips, and the experimental results for realizing the XOR function have successfully verified the basic neural operation.
ER -