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21 articles for “initial training”
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Research ArticleOpen accessIn the abstractSome Statistical Solutions and Methods in Evaluation of Efficiency in Sport and Effectiveness in the Phenomenon of Sportsmen' TrainingGheorghe Săvoiu, Ion Iorga, Marian Creţu, Ion MihăilăProblem statement: A general method for evaluation of efficiency in sport and effectiveness in the phenomenon of sportsmen’s training was proposed. Approach: The method of four “E” was a frame method focused on communication and evaluation, where efficiency acquired an essential importance and its variation related to the initial programme, with its time or space details, respectively related to the … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 7,878 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Modified Conjugate Gradient Formula for Back Propagation Neural Network AlgorithmAbbas Y. Al Bayati, Najmaddin A. Sulaiman, Gulnar W. SadiqProblem statement: The Conjugate Gradient (CG) algorithm which usually used for solving nonlinear functions is presented and is combined with the modified Back Propagation (BP) algorithm yielding a new fast training multilayer algorithm. Approach: This study consisted of determination of new search directions by exploiting the information calculated by gradient descent as well as the previous search direction. The proposed … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Dec 2009 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating E-learning Programs: An Adaptation of Kirkpatrick's Model to Accommodate E-learning EnvironmentsThair M. HamtiniProblem Statement: Kirkpatrick's model for the evaluation of training programs has been a staple in institutional learning since 1959 and is easily applicable to any training program. Approach: This model, however, was developed for traditional learning environments and has been regarded as antiquated, especially when one took into consideration the fact that institutional learning has increasingly taken on the form … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 7,957 accessesView PDFCite
Review ArticleOpen accessIn the abstractBiomechanically Inspired Machines, Driven by Muscle Like Acting NiTi AlloysAntonio Apicella, Raffaella Aversa, Florian Ion Tiberiu PetrescuThe Shape of the Memory Alloy (SMA) is a very promising class of metallic materials with interesting non-linear properties such as Pseudo-Elasticity (PE), memory (MEM) and damping capacity due to high mechanical hysteresis and internal friction. Research shows a bioinventory approach to Shape Memory Alloy (SMA) design, a class of intelligent materials capable of reacting to a pulse (thermal for … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 23 May 2018 · 8,279 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Distance of the Submerged Vanes from the Outer Bank on Sediment Movement within 180° BendJaafar S. Maatooq, Barq A. AdhabA small aspect ratio of submerged vanes when used near the outer bank at the angle of attack between 10° to 20° and at the initial height above the bed between 20-40% of flow depth is considered one of the most successful river training structures. Vanes when located within the bends of river, produces helical swirls at inverse action with … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 3 Jul 2017 · 7,474 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization and Prediction of Motorcycle Injection System Performance with Feed-Forward Back-Propagation Method Artificial Neural Network (ANN)La Ode Ichlas Syahrullah, Nazaruddin SinagaThis research studied the use of Artificial Neural Network (ANN) using feed-forward back-propagation model to optimize and predict the performance of a motorcycle fuel injection systems of gasoline. The parameters such as speed, throttle position, ignition timing and injection timing is used as the input parameters. While the parameters of fuel consumption and engine torque is used as the output … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 16 Feb 2016 · 13,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractANALYSIS OF BAYESIAN CLASSIFIER ACCURACYFelipe Schneider Costa, Maria Marlene De Souza Pires, Silvia Modesto NassarThe naïve Bayes classifier is considered one of the most effective classification algorithms today, competing with more modern and sophisticated classifiers. Despite being based on unrealistic (naïve) assumption that all variables are independent, given the output class, the classifier provides proper results. However, depending on the scenario utilized (network structure, number of samples or training cases, number of variables), the … …Journal of Computer Science, Vol. 9, Issue 11 · 26 Sep 2013 · 8,375 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of the Professional Learning and Psychological Mentoring Support for Teacher TraineesChristina Peter LigaduProblem statement: Mentoring practices have been an important part of the practicum in initial teacher training. The purpose of this study was to investigate the impact of a mentoring program for teacher mentors and mentees. It also explored the factors that influenced the impact of the mentoring program. This study was conducted in two secondary schools in the state of … …Journal of Social Sciences, Vol. 8, Issue 3 · 7 May 2012 · 8,415 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Subset Selection for Hot Method Prediction using Genetic Algorithm wrapped with Support Vector MachinesSandra Johnson, Valli ShanmugamProblem statement: All compilers have simple profiling-based heuristics to identify and predict program hot methods and also to make optimization decisions. The major challenge in the profile-based optimization is addressing the problem of overhead. The aim of this work is to perform feature subset selection using Genetic Algorithms (GA) to improve and refine the machine learnt static hot method predictive … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Leakage Current to Predict Insulator Flashover Using Artificial Neural NetworkN. Narmadhai, A. Ebenezer JeyakumarProblem statement: The phenomenon of flashover in polluted insulators has been continued by the study of the characteristics of contaminating layers deposited on the surface of insulators in high voltage laboratories. In the literature, Experimental investigations have been carried out on a real insulator or a flat plate model of insulators under high voltage application. This study proposed the Equivalent … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,618 accessesView PDFCite