Granular-computing based hybrid collaborative fuzzy clustering for long-term prediction of multiple gas holders levels
Z Han, J Zhao, Q Liu, W Wang - Information Sciences, 2016 - Elsevier
Abstract Linz–Donawitz converter Gas (LDG), regarded as an essential secondary energy
resource, plays a significant role for the entire production process of steel industry. In a LDG …
resource, plays a significant role for the entire production process of steel industry. In a LDG …
A dynamic approach for hierarchical clustering of gene expression data
A Sirbu, MI Bocicor - 2013 IEEE 9th International Conference …, 2013 - ieeexplore.ieee.org
Discovering patterns in gene expression data is an extremely important step in
understanding functional genomics and it can be achieved through a clustering process …
understanding functional genomics and it can be achieved through a clustering process …
Dynamic machine learning for supervised and unsupervised classification
AM Sîrbu - 2016 - theses.hal.science
The research direction we are focusing on in the thesis is applying dynamic machine
learning models to salve supervised and unsupervised classification problems. We are …
learning models to salve supervised and unsupervised classification problems. We are …