Formal concept analysis in knowledge processing: A survey on models and techniques
This is the first part of a large survey paper in which we analyze recent literature on Formal
Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 …
Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 …
Using feed-forward perceptron Artificial Neural Network (ANN) model to determine the rolling force, power and slip of the tandem cold rolling
In this paper, an Artificial Neural Network (ANN) is used to investigate the influence of rolling
parameters such as thickness reduction, inter-strand tension, rolling speed and friction on …
parameters such as thickness reduction, inter-strand tension, rolling speed and friction on …
Formal concept analysis in knowledge discovery: a survey
J Poelmans, P Elzinga, S Viaene, G Dedene - Conceptual Structures: From …, 2010 - Springer
In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We
collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in …
collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in …
Formal concept analysis approach to cognitive functionalities of bidirectional associative memory
Pattern association is one among the ways through which human brain stores and recalls
information. From the literature, it is evident that cognitive abilities of human brain such as …
information. From the literature, it is evident that cognitive abilities of human brain such as …
[PDF][PDF] Reducing the Size of Concept Lattices: The JBOS Approach.
SM Dias, N Vieira - Cla, 2010 - cla.inf.upol.cz
Formal concept analysis (FCA) is used nowadays in a large number of applications in
several different areas. Nevertheless, in some applications the size of a concept lattice may …
several different areas. Nevertheless, in some applications the size of a concept lattice may …
Modelling hot rolling manufacturing process using soft computing techniques
Steel making industry is becoming more competitive due to the high demand. In order to
protect the market share, automation of the manufacturing industrial process is vital and …
protect the market share, automation of the manufacturing industrial process is vital and …
A multiobjective optimization framework based on FEA, ANN, and NSGA-II to optimize the process parameters of tube-to-tubesheet joint
This study presents a multiobjective optimization framework that integrates Artificial Neural
Network (ANN) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II) for the …
Network (ANN) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II) for the …
A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in …
Foundry process is a complex process with more than 100 parameters that influence the
quality of final cast component. It is a process with multiple optimal conditions. For two …
quality of final cast component. It is a process with multiple optimal conditions. For two …
Applying the JBOS reduction method for relevant knowledge extraction
SM Dias, NJ Vieira - Expert Systems with Applications, 2013 - Elsevier
This work presents results from an experiment used to assess the JBOS (junction based on
objects similarity) reduction method. Two reductions were made of a formal context about …
objects similarity) reduction method. Two reductions were made of a formal context about …
A framework for improving process robustness with quantification of uncertainties in Industry 4.0
C Giannetti - … IEEE International Conference on INnovations in …, 2017 - ieeexplore.ieee.org
Digitalisation of industrial processes, also called the fourth industrial revolution, is leading to
availability of large volume of data containing measurements of many process variables …
availability of large volume of data containing measurements of many process variables …