Open AccessReasoning about the disruption patterns for train system using Bayesian Network and Prolog
Author(s) -
Yunita Rachma Pradiawati,
Yanti Rusmawati,
Muhammad Arzaki
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1192/1/012064
Subject(s) - prolog , bayesian network , computer science , probabilistic logic , directed acyclic graph , expert system , artificial intelligence , graphical model , logic programming , knowledge base , bayesian probability , construct (python library) , machine learning , theoretical computer science , programming language , algorithm