For a classification using neural network, there exist many cases in which the distributions of classes are so complex that the classification with single network does not properly differentiate the given data into classes. This problem can be resolved if we employ multiple modules that can classify different data respectively. This paper proposes a new adaptive architecture for classification ...

Robust face recognition and classification has been an area of interest for researchers in many disciplines of science and engineering. In this paper, we present a new technique for designing optimal filters for face classification using the bacteria foraging algorithm. The simulation results show that the optimal filter is able to classify the face images correctly into the target and anti-tar...

This paper focuses on a fault classification problem for concurrent error detection circuits based on error detecting codes. The proposed fault classification differs from the common classification, where the faults are divided into two groups – the testable faults and the untestable faults. The faults are divided into four groups in our approach, by their impact to fault secure and self-testin...

This paper presents a method named CCSSM (Classification of Combining Spectral information and Spatial information upon Multiple-point statistics) which is the derivation of two probability fields from the supervised classification for the spectral extraction and multiple-point simulation (MPS) for the spatial information, which then are fused. The performance of CCSSM for two-class classificat...

Classification with a large number of predictors and biomarker discovery become increasingly important in biological and medical research. This paper focuses on performing classification of cardiovascular diseases based on electrocardiogram analysis which deals with many variables and a lot of measurements within variables. We propose an optimal quantile level selection procedure to reduce dime...

The aim of this paper is to propose a terminology of nested simulation models. The terminology is based on our recently recommended classification of nested simulation, i.e. of simulation of systems containing simulating elements, with respect to three basic criteria (reflectivity, size and depth of nesting). The criteria are explained and supported by giving references to existing implementati...

Numerical simulation has now become an integral part of engineering design process. Critical design decisions are routinely made based on the simulation results and conclusions. ¥_rification and validation of the reliability of the numerical simulation is therefore vitally important in the engineering design processes. We propose to develop theories and methodologies that can automatically prov...