Suteja, Bernard Renaldy (2007) Penerapan Jaringan Saraf Tiruan Propagasi Balik Studi Kasus Pengenalan Jenis Kopi. Jurnal Informatika, 3 (1). pp. 49-62.
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Abstract
Testing the taste of coffee traditionally, will depend on human taste sensor, which is not stable and relied on physical and mental conditions. In this situation, only qualitative measures can be determined. To increase reliability in the evaluation of taste of coffee, an electronic taste sensor system can be used to measure objectively. Neural network approach is very appropriate to apply pattern recognition method in an electronic taste sensor system. This paper discusses about neural network with back propagation for recognizing the kind of coffee. Back propagation architecture was chosen because can produce many tastes as output, so alternative identifications can be seen ( in the form of correlation factor).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Neural network, Back propagation |
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Perpustakaan Maranatha |
| Date Deposited: | 13 Feb 2012 10:47 |
| Last Modified: | 13 Feb 2012 10:47 |
| URI: | http://repository.maranatha.edu/id/eprint/302 |
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