In this paper, a new simplified approach has been made for the design and implementation of a noise robust speech recognition using Multilayer Perceptron (MLP) based Artificial Neural Network and LPC-Cepstral Coefficient. Cepstral matrices obtained via Linear Prediction Coefficient are chosen as the eligible features. Here, MLP neural network based transformation method is studied for environme...

This paper describes the implementation of multivariate data analysis: NEURODOC applies the axial k-means method for automatic, non-hierarchical cluster analysis and a Principal Component Analysis (PCA) for representing the clusters on a map. We next introduce Artificial Neural Networks (ANNs) to extend NEURODOC into a neural platform for the cluster analysis and cartography of bibliographic da...

In this paper, it is shown that Multilayer perceptron Neural Network can elegantly perform nonlinear regression of transfer characteristic of electronic devices. After rigorous computer simulations authors develop the optimal MLP NN models, which elegantly perform such a nonlinear regression. Results show that the proposed optimal MLP NN models have optimal values of MSE (mean square error), r ...

In this paper we have studied adaptive equalization in the GSM (Global System for Mobile communications) environment using radial basis function (RBF) networks. Equalization is here considered as a classification problem, where the idea is to map the received complex-valued signal into desired binary values using RBF network equalizer. Results prove that the RBF network provides very good bit e...

This paper discusses non-intrusive electrical energy monitoring (NIEM) system in an effort to minimize electrical energy wastages. To realize the system, an energy meter is used to measure the electrical consumption by electrical appliances. The obtained data were analyzed using a method called multilayer perceptron (MLP) technique of artificial neural network (ANN). The event detection was imp...

This paper presents an alternative approach using the differential logic associated to Artificial Neural Networks (ANNs) in order to distinguish between inrush currents and internal faults in the protection of power transformers. The Alternative Transients Program (ATP) has been chosen as the computational tool to simulate a power transformer under fault and energization situations. The Radius ...

Background: Quantitative Magnetization Transfer Imaging (QMTI) is often used to quantify the myelin content in multiple sclerosis (MS) lesions and normal appearing brain tissues. Also, automated classifiers such as artificial neural networks (ANNs) can significantly improve the identification and classification processes of MS clinical datasets.Objective: We classified patients with relapsing-r...

In vitro techniques are essential to assess the antioxidant potential of foods, although methods with different action mechanisms make troublesome data analysis. This article describes use artificial neural network (ANN) associate phenolic compounds activity in (AOX) grape juices. A multilayer perceptron (MLP) ANN was obtained 28 phenolics quantified, as input layers, and AOX measuring by DPPH,...

This paper investigates the application of artificial neural network structures to the problem of nonlinear channel equalization. The difficulties caused by channel distortions such us inter symbol interference (ISI) and nonlinearities can be overcome by equalizers employing neural networks. We present a structure of a nonlinear equalizer with decision feedback using multilayer perceptron (MLP ...