Submit Manuscript | http://medcraveonline.com Abbreviations: EQ: Earthquake; CS: Complex System; AE: Acoustic Emission; ETAS: Epidemic-Type Aftershock Sequence; B-G: Boltzman-Gibbs; PSHA: Probabilistic Seismic Hazard Analysis; SHA: Seismic Hazard Assessment; SOC: Self-Organized Criticality; NESM: Non-Extensive Statistical Mechanics; IFS: Iterated Function Systems; RP: Recurrent Plots; RQA: Recu...

Recently, Particle Swarm Optimization (PSO) has evolved as a promising alternative to the standard backpropagation (BP) algorithm for training Artificial Neural Networks (ANNs). PSO is advantageous due to its high search power, fast convergence rate and capability of providing global optimal solution. In this paper, the authors explore the improvements in forecasting accuracies of feedforward a...

A new optimization method is proposed in this paper for finding the firing angles in multi-level voltage source inverters to eliminate low-order selective harmonics and reduce total harmonic distortion (THD) value of the output voltage. For thid end, Fourier series is used for calculating objective function and selecting specific harmonics. Regarding the nature and complexity of the employed no...

The Stationary Subspace Analysis (SSA) algorithm linearly factorizes a high-dimensional time series into stationary and non-stationary components. The SSA Toolbox is a platform-independent efficient stand-alone implementation of the SSA algorithm with a graphical user interface written in Java, that can also be invoked from the command line and from Matlab. The graphical interface guides the us...

We present a simple algorithm for the simulation of stiff, discrete-space, continuous-time Markov processes. The algorithm is based on the concept of flow averaging for the integration of stiff ordinary and stochastic differential equations and ultimately leads to a straightforward variation of the the well-known stochastic simulation algorithm (SSA). The speedup that can be achieved by the pre...

We present a perfect sampling algorithm that can be applied to the master equation of gene regulatory networks. The method recasts Gillespie's stochastic simulation algorithm (SSA) in the light of Markov chain Monte Carlo methods and combines it with the dominated coupling from the past (DCFTP) algorithm to provide guaranteed sampling from the stationary distribution. We show how the DCFTP-SSA ...

Image captioning is a popular topic in the domains of computer vision and natural language processing (NLP). Recent advancements deep learning (DL) models have enabled improvement overall performance image approach. This study develops metaheuristic optimization with learning-enabled automated technique (MODLE-AICT). The proposed MODLE-AICT model focuses on generation effective captions to inpu...

<span>The main objective of stock market investors is to maximize their gains. As a result, price forecasting has not lost interest in recent decades. Nevertheless, prices are influenced by news, rumor, and various economic factors. Moreover, the characteristics specific markets can differ significantly between countries regions, based on size, liquidity, regulations. Accordingly, it diff...