| Yazarlar |
Ömer Galip Saraçoğlu
Erciyes Üniversitesi, Türkiye |
Dr. Öğr. Üyesi Hayriye ALTURAL ÖZKAN
Kastamonu Üniversitesi, Türkiye |
| Özet |
| A low-cost optical sensor based on reflective color sensing is presented. Artificial neural network models are used to improve the color regeneration from the sensor signals. Analog voltages of the sensor are successfully converted to RGB colors. The artificial intelligent models presented in this work enable color regeneration from analog outputs of the color sensor. Besides, inverse modeling supported by an intelligent technique enables the sensor probe for use of a colorimetric sensor that relates color changes to analog voltages. © 2010 by the authors; licensee MDPI, Basel, Switzerland. |
| Anahtar Kelimeler |
| Artificial neural network | Color sensing | Intelligent sensor |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | Sensors |
| Dergi ISSN | 1424-8220 |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Makale Dili | İngilizce |
| Basım Tarihi | 09-2010 |
| Cilt No | 10 |
| Sayı | 9 |
| Sayfalar | 8363 / 8374 |
| Doi Numarası | 10.3390/s100908363 |
| Makale Linki | http://www.mdpi.com/1424-8220/10/9/8363/ |
| Atıf Sayıları | |
| SCOPUS | 22 |
