This paper illustrates the classification of Electromyography (EMG) signals through designing and optimization of artificial neural network. The EMG signals obtained for different kinds of hand movements, which are processed to extract the features. Extracted time and timefrequency based feature sets are used to train the neural network. A back-pro

This paper illustrates the classification of EMG signals through design and optimization of Artificial Neural Network (ANN). Different types of ANN models are basically structured with many interconnected network elements which can develop pattern classification strategies based on a set of input/training data. The ANN models work in parallel thus

system. The performance analysis of artificial neural network based –YcbCr skin recognition and three other techniques is evaluated in this work. Results obtained show that the use of YCbCr color model performs better than RGB colour model and the use of artificial neural network further improves the accuracy of the system. © 2012 The Authors. P

The goal of an ensemble construction with several classifiers is to achieve better generalization than that of a single classifier. And proper diversity among classifiers is considered as the condition for an ensemble construction. This paper investigates synthetic pattern for diversity among classifiers. It alters input feature values of some patt

Dementia is emerging as a silent epidemic for rapidly developing countries like Malaysia. Its prevalence and a generic determinant assessment were the focused objectives of this study. There were two phases in this study - an initial descriptive phase followed by an analytic phase. Data were collected from 197 study subjects intially for the secrip

The symbolic and mental nature of science that had been divulged for the first time by the Qur'an has also been recognized by quantum physics thirteen centuries later, i.e., in the first decades of the twentieth century. Isl (a) over barm and quantum physics are compatible due to a shared phenomenological approach which denies that we can know

Islam and quantum physics are compatible due to a shared phenomenological approach which denies that we can know the substance of anything or that matter has a substance at all. In other words, both entirely depend on "Ayat" (sign), appearances (phenomena) or symbols that cannot have any substance or corresponding reality as independent, ma

This research tries to lay the idea of an interactive program for teaching Arabic Language for the non-native speakers. This program will be established on the complete awareness of the language contents and its four study levels (phonological, morphological, syntactical and semantic) with a clear stress on the most prominent foundations and theori

A new method of estimating the coefficients of an autoregressive (AR) model using real-valued neural network (RVNN) technique is presented in this paper. The coefficients of the AR model are obtained from the synaptic weights and adaptive coefficients of the activation function of a two layer RVNN while the number of neurons in the hidden layer is

This research tries to lay the idea of an interactive program for teaching Arabic Language for the non-native speakers. This program will be established on the complete awareness of the language contents and its four study levels (phonological, morphological, syntactical and semantic) with a clear stress on the most prominent foundations and theori