Finding the collapse susceptible portion of a power system is one of the purposes of voltage stability analysis. This part which is a voltage control area is called the voltage weak area. Determining the weak area and adjecent voltage control areas has special importance in the improvement of voltage stability. Designing an on-line corrective control requires the voltage weak area to be determi...

Finding the collapse susceptible portion of a power system is one of the purposes of voltage stability analysis. This part which is a voltage control area is called the voltage weak area. Determining the weak area and adjecent voltage control areas has special importance in the improvement of voltage stability. Designing an on-line corrective control requires the voltage weak area to be determi...

The concept of linear separability is used in the theory of neural networks and pattern recognition methods. This term can be related to examination of learning sets (classes) separation by hyperplanes in a given feature space. The family of K disjoined learning sets can be transformed into K linearly separable sets by the ranked layer of binary classifiers. Problems of the ranked layers deigni...

In this paper, we propose adaptive K-means algorithm upon the principal component analysis PCA feature extraction to pattern recognition by using a neural network model. Adaptive k-means to discriminate among objects belonging to different groups based upon the principal component analysis PCA implemented for statistical feature extraction. The features extracted by PCA consistently reduction d...

although control charts are very common to monitoring process changes, they usually do not indicate the real time of the changes. identifying the real time of the process changes is known as change-point estimation problem. there are a number of change point models in the literature however most of the existing approaches are dedicated to normal processes. in this paper we propose a novel appro...

One of the main applications of pattern recognition is the use of video or imaging cameras in order to detect and recognize the vehicle license plate numbers. This is important mainly for access, traffic surveillance and law enforcement. Several systems are implemented and working in situ with more or less precision. These systems are based on the use of a feature set extracted from the best vi...

RESUME Some previous archaeological studies developed by the investigation group are based in the application of Artificial Neural Networks to detect special items in aerial or remote sensing[1] scenes[2], [3]. As Artificial Neural Networks have been widely used to solve problems related with pattern recognition and classification, a good performance is expected in the detection of certain imag...

ARTMAP based architectures have several desirable properties that make them very suitable for pattern classification problems. However, they suffer from category proliferation. Distributed coding has been proposed as a solution for memory compression. dARTMAP neural network has been introduced as a modification of Fuzzy ARTMAP that, due to distributed learning, achieves code compression while f...

In this paper, a new technique for facial expression recognition is proposed which uses the statistical feature of the whole face and classify the expression using neural network classifier. When the face image is input, region of interest (ROI) is being obtained to evaluate the statistical feature of the face. Using these, features we classify the face into one of the seven different expressio...

Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...