SURYONO, YULISTIAN (2007) PEMANFAATAN METODE SELF ORGANIZING MAP PADA OPTIMASI MASALAH TRAVELLING SALESMAN PROBLEM. Other thesis, Universitas Komputer Indonesia.
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Abstract
Travelling Salesman Problem (TSP) in development usually called classic graph problem. Salesman must a plan a course route to amount of city and visit every city once with entire distance shortly. There are several method that can give optimal solution to this problem. One of method is using computer technology that is Neural Network (NN).
Self Organizing Map (SOM) Neural Network have a ability to self organizing input in to classification zone. The target of designed TSP with SOM method is to find a shortest route from the cities that must be visited. The result of experiment is to prove that SOM method could solved the TSP problem.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | Migrasi dari GDL. Identifier: jbptunikompp-gdl-s1-2007-yulistians-5727. Folder: S1-Final_Project / Fakultas_Teknik_dan_Ilmu_Komputer / Teknik_Informatika / 2007 |
| Uncontrolled Keywords: | 1. METODE SELF ORGANIZING MAP |
| Divisions: | S1 Skripsi > Teknik Informatika |
| Depositing User: | Robot Migration |
| Date Deposited: | 05 Nov 2026 05:32 |
| Last Modified: | 05 Nov 2026 05:32 |
| URI: | https://elibrary.unikom.ac.id/id/eprint/26946 |
