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This paper presents an assessment of three classification models, all based on computational intelligence techniques, for the automatic identification of three possible conditions found in induction motors: healthy, with a half broken rotor bar or with one broken bar. Motors with full-load, half load and no load were considered. Based on evidence previously reported, the power spectral densities of...
An adequate number of hidden neurons and connection structure of a multi-layer perceptron network (MLP) are usually determined by experimentation. In this paper, we propose a scheme to define an appropriate structure and number of neurons of a partially connected MLP when used for classification. Rules for designing the network are based on a decision tree previously built using information gain....
This paper describes an experiment on the detection of a P-300 rhythm from electroencephalographic signals for brain computer interfaces applications. The P300 evoked potential is obtained from visual stimuli followed by a motor response from the subject. The EEG signals are obtained with a 14 electrodes Emotiv EPOC headset. Preprocessing of the signals includes denoising and blind source separation...
Research in earthquake forecasting has been growing in recent years. Several techniques have been applied: analysis of satellite images for tectonic faults detection, measurement of electro-telluric variations and radon gas levels, data transformations to audible representations of seismograms, to name a few. Artificial neural networks (ANN) have been used in some of these approaches, but there is...
The determination of right boundaries during phoneme segmentation of a speech signal is an important part in the process of automatic speech recognition. However, when no information is provided about the meaning of the signal, this segmentation process becomes very difficult. Currently, most of the methods used to detect boundaries of phonemes are based in the identification of variations in distances...
In this paper we present preliminary results obtained from the application of morphological operator pecstrum, for the extraction of discriminating characteristics in leukocytes and similar artificial images. Experts have identified six categories of leukocytes, very similar in shape and size, which makes them extremely difficult to distinguish automatically or even by non-expert humans. A feature...
This paper describes a navigation system for an autonomous vehicle using machine vision techniques applied to real-time captured images of the track, for academic purposes. The experiment consists on the automatic navigation of a control remote car through a closed circuit. Computer vision techniques are used for the sensing of the environment through a wireless camera. The received images are captured...
In this paper we present the results obtained by a partially recurrent neural network, called the hybrid-complex neural network (HCNN), for long-term prediction of electrocardiograms. Two different topologies of the HCNN are reported here. Even though the predicted series were not similar enough to the expected values, the HCNN produced chaotic time series with positive Lyapunov exponents, and it...
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