Layanan journal yang disediakan oleh Perpustakaan Universitas Gunadarma
| Judul Artikel | : | Desain dan Implementasi Field-Programmable Gate Array untuk Identifikasi Citra Wajah Menggunakan Artificial Neural Networks |
|---|---|---|
| Judul Terbitan | : | ELITE ELEKTRO Jurnal Ilmiah Teknik Elektro |
| ISSN | : | 2087362X |
| Bahasa | : | IND |
| Tempat Terbit | : | Depok |
| Tahun | : | 0000 |
| Volume | : | Vol. 3 Issue 2 0000 |
| Penerbit | : | Jurusan Teknologi Elektro Politeknik Negeri Jakarta |
| Frekuensi Penerbitan | : | 2 x 1 Tahun |
| Penulis | : | Arief Budiman, Prawito |
| Abstraksi | : | Field-Programmable Gate Array Design and Implementation for Face Identification Using Artificial Neural Networks. Micropocessor is an important part in electonics world but the challange in microprocessor design is expensive and 10.1.g time fabrication. To overcome long time and microprocessor fabrication cost, it can be implemented infield programmable gate array (FPGA). FPGA is a reconfigurable device. Conventional identification test, often fails due to limited human visual capabilities. Especially if involves a large amount of data. So, a particular intelligence system which will work automatically is needed for identification process. FPGA design and implementation for artificial neural networks (ANN) is considerably needed for create an integrated system, has inference ability, learning process ability in many different enviroment / conditions, along with low production cost. |
| Kata Kunci | : | artificial neural networks; face identification; FPGA |
| Lokasi | : | P101 |
| Terakreditasi | : | belum |