Abstracting and Sharing Process Knowledge

2021 ◽  
Author(s):  
Fabio Casati
Keyword(s):  
Process Knowledge

Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Capture Chromatographic Step

2021 ◽  
Author(s):  
Harini Narayanan ◽  
Martin Luna ◽  
Michael Sokolov ◽  
Paolo Arosio ◽  
Alessandro Butté ◽  
...  
Keyword(s):  
Machine Learning ◽  
Hybrid Models ◽  
Process Knowledge ◽  
Knowledge Application

THE RESEARCH AND APPLICATION OF PROCESS KNOWLEDGE MAP' CONSTRUCTING METHOD

2007 ◽  
Vol 24 (1) ◽  
pp. 30-41 ◽  
Author(s):  
Jun Liang ◽  
Zu-Hua Jiang ◽  
Hai Su ◽  
Kuo-Ming Wang
Keyword(s):  
Knowledge Map ◽  
Process Knowledge

Research on Mining Method of Process Knowledge Based on Ontology

2013 ◽  
Vol 401-403 ◽  
pp. 1470-1473
Author(s):  
Chun Fen Guo ◽  
Li Chen Zhuang
Keyword(s):  
Association Rule ◽  
Partial Correlation ◽  
Apriori Algorithm ◽  
Mining Method ◽  
Process Knowledge ◽  
Concept Model ◽  
Knowledge Based ◽  
Mining Algorithm ◽  
Cross Linker ◽  
Correlation Process

Making use of hierarchical structure clearly of concept model of ontology , on the basis of Apriori algorithm and introducing cross linker method, an mining algorithm of process knowledge of association rule is proposed based on ontology. To verify the feasibility of the algorithm, partial correlation process knowledge is dicovered by this algorithm.

Comparison of a Fuzzy Logic Controller With a P + D Control Law

1989 ◽  
Vol 111 (2) ◽  
pp. 128-137 ◽  
Author(s):  
S. Daley ◽  
K. F. Gill
Keyword(s):  
Fuzzy Logic ◽  
Attitude Control ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Good Control ◽  
Control Law ◽  
Dynamic Coupling ◽  
Process Knowledge ◽  
Logic Control ◽  
Limited Process

A study is described that compares the performance of a self-organizing fuzzy logic control law (SOC) with that of the more traditional P + D algorithm. The multivariate problem used for the investigation is the attitude control of a flexible satellite that has significant dynamic coupling of the axes. It is demonstrated that the SOC can provide good control, requires limited process knowledge and compares favorably with the P + D algorithm.

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