In this paper, Levenberg-Marquardt (LM) learning algorithm for a single Integrate-and-Fire Neuron (IFN) is proposed and tested for various applications in which a neural network based on multilayer perceptron is conventionally used. It is found that a single IFN is sufficient for the applications that require a number of neurons in different hidden layers of a conventional neural network. Sever...

In this paper, the problem of constructing the whole view of a scene background from an image sequence is considered. First, point or block correspondence between each pair of successive frames is determined. Three parametric motion models are used: 2-D translation with scale change, affine, and projective. Motion parameters are estimated using either robust criteria and the Levenberg–Marquardt...

Nature-inspired metaheuristics found various applications in different fields of science, including the problem of artificial neural networks (ANN) training. However, very versatile opinions regarding the performance of metaheuristics applied to ANN training may be found in the literature. Both nature-inspired metaheuristics and ANNs are widely applied to various geophysical and environmental p...

The artificial neural network with back propagation algorithm is a multi-layer feed-forward network, which suitable to study unsteady frost formation multiple factors. used layer growth on cold flat surface, where four feature variables including temperature of the velocity, relative humidity and air are adopted. experiment generates database, good for training due its fast speed high precision...

Curve fitting for oscillometric waveforms is vital to maximum amplitude algorithm (MAA) in blood pressure measurement. Popular methods in recent years, such as asymmetric Gaussian or Lorentzian functions, perform well when the profile of the oscillometric waveforms (OMW) are close to them. But they will have a relatively large mean square error (MSE) when the oscillometric pulse amplitude envel...

Introduction: Artificial neural networks are a type of systems that use very complex technologies and non-algorithmic solutions for problem solving. These characteristics make them suitable for various medical applications. This study set out to investigate the application of artificial neural networks for differential diagnosis of thalassemia minor and iron-deficiency anemia. Methods: It is...

Like common stocks, Bitcoin price fluctuations are non-stationary and highly noisy. Due to attractiveness of in terms returns risk, prediction is attracting a growing attention from both investors researchers. Indeed, with the development machine learning especially deep learning, forecasting receiving particular interest. We implement apply forward neural network (DFFNN) for analysis high-freq...