Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Sensors 2013, 13(1), 193-207; doi:10.3390/s130100193
Article

An Analog Multilayer Perceptron Neural Network for a Portable Electronic Nose

,
 and *
Received: 10 November 2012; in revised form: 17 December 2012 / Accepted: 19 December 2012 / Published: 24 December 2012
View Full-Text   |   Download PDF [852 KB, uploaded 21 June 2014]
Abstract: This study examines an analog circuit comprising a multilayer perceptron neural network (MLPNN). This study proposes a low-power and small-area analog MLP circuit to implement in an E-nose as a classifier, such that the E-nose would be relatively small, power-efficient, and portable. The analog MLP circuit had only four input neurons, four hidden neurons, and one output neuron. The circuit was designed and fabricated using a 0.18 μm standard CMOS process with a 1.8 V supply. The power consumption was 0.553 mW, and the area was approximately 1.36 × 1.36 mm2. The chip measurements showed that this MLPNN successfully identified the fruit odors of bananas, lemons, and lychees with 91.7% accuracy.
Keywords: analog MLP circuit; electronic nose analog MLP circuit; electronic nose
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Pan, C.-H.; Hsieh, H.-Y.; Tang, K.-T. An Analog Multilayer Perceptron Neural Network for a Portable Electronic Nose. Sensors 2013, 13, 193-207.

AMA Style

Pan C-H, Hsieh H-Y, Tang K-T. An Analog Multilayer Perceptron Neural Network for a Portable Electronic Nose. Sensors. 2013; 13(1):193-207.

Chicago/Turabian Style

Pan, Chih-Heng; Hsieh, Hung-Yi; Tang, Kea-Tiong. 2013. "An Analog Multilayer Perceptron Neural Network for a Portable Electronic Nose." Sensors 13, no. 1: 193-207.



Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert