4.6 Article

An Analog Multilayer Perceptron Neural Network for a Portable Electronic Nose

Journal

SENSORS
Volume 13, Issue 1, Pages 193-207

Publisher

MDPI
DOI: 10.3390/s130100193

Keywords

analog MLP circuit; electronic nose

Funding

  1. National Science Council of Taiwan [NSC 101-2220-E-007-006]
  2. MediaTek Fellowship
  3. National Chip Implementation Center (CIC), Taiwan

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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 mu m standard CMOS process with a 1.8 V supply. The power consumption was 0.553 mW, and the area was approximately 1.36 x 1.36 mm(2). The chip measurements showed that this MLPNN successfully identified the fruit odors of bananas, lemons, and lychees with 91.7% accuracy.

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