Özet
Adaptive cruise control is a system which controls a vehicle equipped with radars and a control unit to maintain either velocity of the vehicle or the distance between the preceding vehicle. The basic principle of this system is to read and interpret the radar measurement to determine the required actuating signals and apply these signals to reach the desired goal. In this work, the control is accomplished using a feed-forward artificial neural network, and its role is discussed. All the system is modelled in MATLAB/SIMULINK environment, and the main contribution of this work is to show the applicability of artificial neural network structure to an engineering problem at system level.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | Artificial Neural Networks and Machine Learning - 25th International Conference on Artificial Neural Networks, ICANN 2016, Proceedings |
| Editörler | Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero |
| Yayınlayan | Springer Verlag |
| Sayfalar | 515-522 |
| Sayfa sayısı | 8 |
| ISBN (Basılı) | 9783319447803 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 2016 |
| Etkinlik | 5th International Conference on Artificial Neural Networks, ICANN 2016 - Barcelona, Spain Süre: 6 Eyl 2016 → 9 Eyl 2016 |
Yayın serisi
| Adı | Lecture Notes in Computer Science |
|---|---|
| Hacim | 9887 LNCS |
| ISSN (Basılı) | 0302-9743 |
| ISSN (Elektronik) | 1611-3349 |
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| ???event.eventtypes.event.conference??? | 5th International Conference on Artificial Neural Networks, ICANN 2016 |
|---|---|
| Ülke/Bölge | Spain |
| Şehir | Barcelona |
| Periyot | 6/09/16 → 9/09/16 |
Bibliyografik not
Publisher Copyright:© Springer International Publishing Switzerland 2016.
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