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Flexible job-shop scheduling problem with parallel operations using reinforcement learning
Q. H. Lv, J. Chen, P. Chen, Q. F. Xun, L. Gao
Izvirni znanstveni članek
Oznake: heterogeni grafi;modeli razporejanja;flexible scheduling;flexible job-shop scheduling problem;FJSP;unified scheduling mode;parallel operations;reinforcement learning;heterogeneous graph networks;attention restart method based on heterogeneous graph attention networks;AR-HGAT;
The Flexible Job-shop Scheduling Problem (FJSP) has received considerable scholarly attention as a classic problem. However, in practical industrial manufacturing scenarios, it is common for an operation to have multiple preceding parallel operations. This not only necessitates adhering to the seque ...
Leto: 2024 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts
Guangxu Xun
Video in druga učna gradiva
Oznake: computer science;data science
A text corpus typically contains two types of context information -- global context and local context. Global context carries topical information which can be utilized by topic models to discover topic structures from the text corpus, while local context can train word embeddings to capture semantic ...
Leto: 2017 Vir: videolectures.net
Predicting Traffic Accidents Through Heterogeneous Urban Data: A Case Study
Xun Zhou
Video in druga učna gradiva
Oznake: computer science;data science
Leto: 2017 Vir: videolectures.net
Št. zadetkov: 3
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