Epilepsy is one of the most common neurological disorders that greatly impair patients’ daily lives. A classifier for automated epileptic EEG detection and patient monitoring can be very important for epilepsy diagnosis and patients’ quality of life, especially for rural areas and developing countries where medical resources are limited. This paper describes our development of an accurate and f...

The choice of a proper wavelet family with a fast and robust classifier is an important step in the construction of a myoelectric control pattern recognition system for a prosthetic hand. In this study, five hand motions were classified by using six wavelet functions extracted features from sEMG signals. The selected wavelet families that were used to decompose the recorded sEMG signals are Bio...

In this paper, we propose the design procedure of advanced Polynomial Neural Networks(PNN) architecture fo r optimal model identification of complex and nonlinear system. The proposed PNN architecture is presented as the generic and advanced type. The essence of the design procedure dwells on the Group Method of Data Handling (GMDH). PNN is a flexible neural architecture whose structure is deve...

Numeral recognition is considered to be very prominent in most of the Character recognition researches. With respect to applications like number plate recognition and document processing the numerals are composed as a part of number plate images/application form type document images. This paper mainly focuses on eliminating language barriers that may arise while comprehending the regional langu...

Efforts to optimize the design of mechanical systems for preestablished use environments and to extend the durations of use cycles establish a need for in-service health monitoring. Numerous studies have proposed measures of structural response for the identification of srrucrural damage, buf few have suggested systematic techniques to guide the decision es to whether or not damage has occurred...

In this investigation, an approach using Coactive Neuro-Fuzzy Inference System (CANFIS) as diagnosis system for breast cancer has been proposed on Wisconsin Breast Cancer Data (WBCD). It is occasionally difficult to attain the ultimate diagnosis even for medical experts due to the complexity and non-linearity of the relationships between the large measured factors, which can be possibly resolve...

Received July 12 th , 2012 Accepted July 28 th , 2012 In this paper, a new Face Recognition method based on Discrete orthogonal Tchebichef moments with Linear Discriminant Analysis and Probabilistic Neural Network is proposed. Tchebichef moments are having good energy compaction property that made them useful in image compression and dimensionality reduction operations. Moreover the translation...

Brand choice models, used for describing the process of choosing mutually exclusive alternatives, attracted a large amount of attention from researchers in the early of the recent decade. These models can be used as a market response simulator for simulating marketing strategies and assessing how changes in marketing variables such as pricing and promotions will influence consumer behavior and ...

In this paper, four kinds of neural network classifiers have been used for the classification of underwater passive sonar signals radiated by ships. Classification process can be divided into two stages. In the preprocessing and feature extraction stage, Two-Pass Split-Windows (TPSW) algorithm is used to extract tonal features from the average power spectral density (APSD) of the input data. In...