Semisupervised distance-preserving self-organizing map for machine-defect detection and classification
Many intelligent learning methods have been successfully applied in gearbox fault
diagnosis. Among them, self-organizing maps (SOMs) have been used effectively as they …
diagnosis. Among them, self-organizing maps (SOMs) have been used effectively as they …
Characterizing a turbidite system in Canterbury Basin, New Zealand, using seismic attributes and distance-preserving self-organizing maps
Recent developments in seismic attributes and seismic facies classification techniques have
greatly enhanced the capability of interpreters to delineate and characterize features that are …
greatly enhanced the capability of interpreters to delineate and characterize features that are …
Advancing our understanding of cultural heterogeneity with unsupervised machine learning
W Messner - Journal of International Management, 2022 - Elsevier
National boundaries and country averages are commonly used as delimiters and proxies for
culture. By doing so, not enough attention is paid to cultural heterogeneity within and …
culture. By doing so, not enough attention is paid to cultural heterogeneity within and …
Data mining using rule extraction from Kohonen self-organising maps
The Kohonen self-organising feature map (SOM) has several important properties that can
be used within the data mining/knowledge discovery and exploratory data analysis process …
be used within the data mining/knowledge discovery and exploratory data analysis process …
Self-organizing map network for the decision making in combined mode conduction-radiation heat transfer in porous medium
K Anand, A Bhardwaj, S Chaudhuri… - Arabian Journal for …, 2022 - Springer
Self-organizing map (SOM) network is used for the first time for decision making in combined
mode conduction-radiation heat transfer in porous medium. Variety of variations in the …
mode conduction-radiation heat transfer in porous medium. Variety of variations in the …
[图书][B] From insights to innovations: data mining, visualization, and user interfaces
J Himberg - 2004 - aaltodoc.aalto.fi
This thesis is about data mining (DM) and visualization methods for gaining insight into
multidimensional data. Novel, exploratory data analysis tools and adaptive user interfaces …
multidimensional data. Novel, exploratory data analysis tools and adaptive user interfaces …
Semi-supervised Learning Based Intelligent Fault Diagnosis Methods
W Li, X Zhang, R Yan - Intelligent Fault Diagnosis and Health Assessment …, 2023 - Springer
In practical industrial application, it is usually difficult to obtain sufficient labelled data due to
the high cost of manual marking labels, which makes it hard to apply the traditional …
the high cost of manual marking labels, which makes it hard to apply the traditional …
Towards intelligent open data platforms: Discovering relatedness in datasets
OA Sennaike, M Waqar, E Osagie… - 2017 Intelligent …, 2017 - ieeexplore.ieee.org
Open data platforms are central to the management and exploitation of data ecosystems.
While existing platforms provide basic search capabilities and features for filtering search …
While existing platforms provide basic search capabilities and features for filtering search …
Visualizing high-dimensional input data with growing self-organizing maps
Currently, there exist many research areas that produce large multivariable datasets that are
difficult to visualize in order to extract useful information. Kohonen self-organizing maps …
difficult to visualize in order to extract useful information. Kohonen self-organizing maps …
A combined measure for quantifying and qualifying the topology preservation of growing self-organizing maps
The Self-Organizing Map (SOM) is a neural network model that performs an ordered
projection of a high dimensional input space in a low-dimensional topological structure. The …
projection of a high dimensional input space in a low-dimensional topological structure. The …