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In this paper we present and validate a methodology to avoid the training procedure of a classifier based on an Hidden Markov Model (HMM) for a real-time gait recognition of two or four phases, implemented to control pediatric active orthoses of lower limb. The new methodology consists in the identification of a set of standardized parameters, obtained by a data set of angular velocities of healthy...
In this study, the Multifeedback-Layer Neural Network (MFLNN) weights are trained by the Particle Swarm Optimization (PSO). This method (MFLNN-PSO) is applied to two different problems to prove accomplishment of the study. Firstly, a chaotic time series prediction problem is used to test the MFLNN-PSO. Also, the method is used for identification of a non-linear dynamic system. This study shows that...
The model of spike neuron, structure of spike neural networks are considered and their classification was made. The training procedures used to spike neural networks are described.
This paper proposes a new method to detect objects in images. Boundaries contain shape of the objects. To detect objects in cluttered images, we use boundary fragments. Boundary fragments are obtained by our new training procedure. Poisson equation is used to divide edges and extract generic model of the object. Gaussian Mixture Model (GMM) is used to model shape of the object. This creates relation...
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mutation operator may be efficient, the initial scale of the whole population can be very large. This may lead to the conventional EP taking too long to reach convergence. To combat this problem, EP has been modified in various...
Software development effort estimation is the process of predicting the most realistic use of effort required for developing software based on some parameters. It has always characterised one of the biggest challenges in Computer Science for the last decades. Because time and cost estimate at the early stages of the software development are the most difficult to obtain, and they are often the least...
X-ray mammography is the principal technique for breast cancer screening in clinical practice. However, X-ray mammography presents different drawbacks showing that alternative technologies are desirable. For example, the difficulty in detecting the breast tumors at the earlier stage, the destructive effects of the ionizing X-rays on the irradiated tissues, low efficiency in dense breasts and with...
In this paper, a novel approach for insulation condition assessment is presented. This method is based on processing the detected partial discharge pulses by using a decision tree algorithm. In training procedure, not only partial discharge parameters are collected for different cavity sizes and depths, but also the influence of aging in cable insulation is considered. Results have shown high reliable...
An adaptive neural network control of a novel type of translational meshing motor with model uncertainties is considered. Owing to its nonlinear characteristic, a model reference control system which consists of two neural networks is used. The torque model is identified based on BP neural network, and then a RBF neural network works as the controller. The model reference control system is trained...
The aim of this work is to describe a possible approach for the detection of face of arbitrary pose in color images, based on wavelet invariant moments and self-organizing competitive neural network. The method is capable of locating human faces over a broad range of views in color images with complex scenes. First of all, it uses the presence of skin-tone pixels to locate candidate face regions....
Based on an integration of a simple impulse detector and a robust neuro-fuzzy (RNF) network, a new effective filter for color images corrupted by impulse noise is presented in this paper. There are two distinctive properties of the proposed method. The first is the use of a simple impulse detector. The other is the use of a novel membership function in the design of the adaptive RNF network, making...
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