Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
metadata only
Analisis Pola Tanda Tangan untuk Identifikasi Kepribadian Diri Menggunakan Jaringan Syaraf Tiruan Backpropagation Berbasis Citra Digital
This study discusses the introduction of digital signature patterns using the Backpropagation method on Artificial Neural Network (JST) to identify a person's characteristics and potential. The increasing use of digital identities demands a verification system that is more secure, accurate, and adap
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- IDENTIFIKASI TANDA-TANGAN MENGGUNAKAN JARINGAN SARAF TIRUAN PERAMBATAN-BALIK (BACKPROPAGATION#1015233
- Jaringan Syaraf Tiruan Memprediksi Penyakit Gerd menggunakan Metode Backpropagation : Studi Kasus : RSU. Bidadari Kota Binjai#467467
- Jaringan Saraf Tiruan (JST) Memprediksi Penjualan UMKM Kota Binjai dengan menggunakan Metode Backpropagation#377186
- Perspektiv på anpassning till digitalisering - En kvalitativ studie av socialsekreterares syn på digitalisering av försörjningsstöd#257364
- Naïve Bayes and similarity based methods for identifying computer users using keystroke patterns#958004
Record · ID 1066859
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive