Here, one such hybrid approach is presented with application of Rough set philosophy to unsupervised artificial neural network (UANN) based pattern classifier. This enhances the performance of the classifier and makes it more suitable for real time classification applications dealing with large and ...
A and M in Fig.2) from a shared set of interacting components by colocalizing them in different ways. The first stage of design begins with a set S of shared tiles that do not directly bind each other; then three sets of interaction-mediating tiles (also called H, ...
Automatic recognition, description, classification and grouping of patterns are activities important in a wide variety of scientific disciplines, such as biology, psychology, medicine, vision by a computer, artificial intelligence, remote sensing, etc. 展开 ...
In the age of digital information, audio data has become an important part in many modern computer applications. Audio classification and indexing has been becoming a focus in the research of audio processing and pattern recognition. In this paper, we propose effective algorithms to automatically ...
We test whether classification performance of financial institutions by their payment patterns is robust to reductions in the number of features by unsupervised feature selection. In addition, we measure the extent to which a macroprudential approach to the monitoring of payment systems, in the form ...
Linear discriminant analysis (LDA) and ANN using factor scores calculated from NIR spectra showed more accurate differentiations than those based on the original spectra. In LDA, the correctly assigned ratio was 81.6%. Correct classification ratios shown by Partial least squares (PLS2) were 84.2% ...
A Highly Parallel Multi-class Pattern Classification on GPU Multi-class pattern classification has a variety of applications and could be achieved using artificial neural networks (ANN). There are two major system architectures for using ANNs in multi-class pattern classification: using a single ......
Phenotypic classification of Bornean Metriorrhynchini and Calochromini The colour patterns of Bornean Metriorrhynchini are classified into three categories: (1) Pattern A The elytra brown to red in a humeral part of elytra, the apex of elytra dark coloured, the elytral cells minute, elytra...
A new method of polymer classification is described involving dynamic mechanical analysis of polymer properties as temperature is changed. The method is based on the chemometric analysis of the damping factor (tanδ) as a function of temperature. In this study four polymer groups, namely, polypropyl...
Analysis IV focused on supervised classification when anomalies are present in R and investigated how their identification and removal could improve classification accuracy. As for each of the above cases, we highlighted the practical aspects of PDD in solving real life genomic/healthcare problems and...