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Web Page Design of Automobile Energy Saving and Emission Reduction System Based on Neural Network
| Content Provider | Scilit |
|---|---|
| Author | Zu, Lin-Mei Quan, Kai-Li Qi, Guang-Lei Hou, Xiao-Gang |
| Copyright Year | 2021 |
| Description | Journal: Journal of Physics: Conference Series With the continuous development of economy and society, the demand and use of automobiles are increasing all over the world. China’s automobile industry has gradually grown into one of the important industries. Automobile exhaust has become one of the main sources of air pollutants in many cities, and automobile exhaust in some cities has a great impact on many air pollution indicators. If we can provide a more energy-saving route for the driver before the driver leaves, combining with the traffic situation forecast, we can better realize the energy-saving and emission-reduction of automobile travel. This paper mainly introduces the web page design of an automobile energy saving and emission reduction system based on neural network, which is implemented by Python, Html, JavaScript, CSS, Java and other programming languages, and meets the basic needs of users. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1856/1/012011/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1856/1/012011 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1856 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2021-04-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Geological Engineering Energy Saving Emission Reduction Saving and Emission Web Page Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
