Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge
type: Item
instance of: scholarly article
title: Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge
zbMATH Open document ID: 1102.90324
author: Der-Chiang Li
author: Chih-Sen Wu
author: Tung-I Tsai
author: Yao-San Lina
published in: Computers \& Operations Research
publication date: 2006-12-07T00:00:00Z
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 90B30
zbMATH DE Number: 5078747
zbMATH Keywords: small data set
zbMATH Keywords: scheduling
zbMATH Keywords: flexible manufacturing system
zbMATH Keywords: mega-trend-diffusion
describes a project that uses: ANFIS
describes a project that uses: PYTHIA
MaRDI profile type: Publication
full work available at URL: j.cor.2005.05.019
OpenAlex ID: W2010354425
cites work: A review of machine learning in dynamic scheduling of flexible manufacturing systems
cites work: Dynamic scheduling system utilizing machine learning as a knowledge acquisition tool
cites work: Simulation metamodelling with neural networks: An experimental investigation
cites work: Indentifying attributes for knowledge-based development in dynamic scheduling environments
cites work: Using an unsupervized neural network and decision tree as knowledge acquisition tools for FMS scheduling
cites work: A diffusion-neural-network for learning from small samples
cites work: Principle of information diffusion
DOI: 10.1016/J.COR.2005.05.019
description: scientific article; zbMATH DE number 5078747