Li et al., 2016 - Google Patents
Remote sensing and artificial neural network estimation of on-road vehicle emissionsLi et al., 2016
View PDF- Document ID
- 10315319068477635047
- Author
- Li Z
- Kang Y
- Lv W
- Zhao Y
- Publication year
- Publication venue
- 2016 International Conference on Advanced Robotics and Mechatronics (ICARM)
External Links
Snippet
The emissions of on-road vehicles are studied based on a remote sensing system and artificial neural network models. A transportable vehicle emission remote sensing system is used to collect the emission data from May to August 2012 in Hefei, China. Based on these …
- 230000001537 neural 0 title abstract description 30
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
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