In this paper we present a method of hybrid predictive control (HPC) based on a fuzzy model. The identification methodology for a nonlinear system with discrete state-space variables based on combining fuzzy clustering and principal component analysis is proposed. The fuzzy model is used for HPC design, where the optimization problem is solved by the use of genetic algorithms (GAs). An illustra...

Data compression is the most important step in many signal processing and pattern recognition applications. We come across very high dimensional data in such applications. Before processing of large-dimensional datasets, we need to reduce the dimensions to have lesser storage space and reduced computational complexities while retaining the maximum information. Principal Component Analysis (PCA)...

This talk is an introduction to Independent Component Analysis (ICA) and Parallel Factor Analysis (PARAFAC), the way they are related and their links with Principal Component Analysis (PCA). PCA is now a standard technique for the analysis of two-way multivariate data, i.e., data available in matrix format. However, principal components are subject to rotational in-variance. By imposing statist...

This paper introduces statistical shape modelling (SSM) for use in osteoarchaeology research. SSM is a full field, multi-material analytical technique, and is presented as a supplementary geometric morphometric (GM) tool. Lower mandibular canines from two archaeological populations and one modern population were sampled, digitised using micro-CT, aligned, registered to a baseline and statistica...

Article history: Received 30 November 2013 Received in revised form 22 January 2014 Accepted 23 January 2014 Available online 31 January 2014

It is well-known that the calorific value and heat transfer speed of coal are closely related to quality index, affect explosion intensity maximum pressure dust explosion. In this paper, for different indexes studied experimentally, main parameters affecting elucidated by principal component analysis multivariate statistical analysis.

Various per- and poly-fluorinated compounds (PFCs) were first systematically investigated in North Canal Basin, Beijing, China. A total of 68 surface water samples were collected from North Canal Basin, Beijing, at high spatial resolution. The seasonal disparity was compared and associated with source variation. PFCs concentrations in low-water period ranged from 26 to 207 ng/L, and significant...