Research ArticleOpen accessPhrase in the titlep-Best Approximation on Probabilistic Normed SpacesM. Shams, S. M. Vaezpour, R. SaadatiWe studied the best approximation between two sets in probabilistic normed spaces. We defined the best approximation on these spaces and generalized some definitions such as set of best approximation, p-proximinal set and p-approximately compact relative to any set and proved some theorems about them. …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 7,567 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInterpolating Operators for MultiapproximationEman Samir BhayaProblem statement: There are no simple definitions of operators for best multiapproximation and best one sided multiapproximation which work for any measurable function in Lp for, p>0. This study investigated operators that are good for best multiapproximation and best one sided multiapproximation. Approach: We first introduced some direct results related to the approximation problem of continuous functions by Hermit-Fejer interpolation … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,654 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransfer Learning in Attack Avoidance GamesEdwin Torres, Fernando LozanoTransfer knowledge is a human characteristic that has been replicated in machine learning algorithms to improve learning performance measures. However, little success has been accomplished in reinforcement learning tasks when a function approximation is needed to estimate the value functions. In this study, we present a new strategy to facilitate knowledge transfer when an agent is learning to solve a … …Journal of Computer Science, Vol. 16, Issue 10 · 13 Nov 2020 · 6,577 accessesView PDFCite
Research ArticleOpen accessIn the abstractCurve Fitting Using Conic by Evolutionary ComputingZainor Ridzuan Yahya, Abd Rahni Mt Piah, Ahmad Abd MajidProblem statement: A direct method, such as least squares technique is usually used to solve problems involving matching a curve or a surface to a set of data points. The solution obtained by this direct method is precise or very good in approximation, but computationally not very efficient. Thus, in this study, we propose an indirect approach using Particle Swarm … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 7 Feb 2012 · 6,951 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneralization of (0, 4) Lacunary Interpolation by Quantic SplineJwamer Karwan Hama Faraj, Ridha G. KaremProblem statement: Spline functions are the best tool of polynomials used as the basic means of approximation theory in nearly all areas of numerical analysis. Also in the problem of interpolation by g-spline construction of spline, existences, uniqueness and error bounds needed. Approach: In this study, we generalized (0,4) lacunary interpolation by quanta spline function. Results: The results obtained, the … …Journal of Mathematics and Statistics, Vol. 6, Issue 1 · 31 Mar 2010 · 7,310 accessesView PDFCite
Research ArticleOpen accessIn the abstractStructural Modeling of Fundamental Frequency Contour for Thai Expressive SpeechSuphattharachai ChomphanProblem statement: Appropriate modeling of fundamental Frequency (F0) contour for speech is a key factor to preserve the quality of speech prosody. One successful approach has been conducted for tonal language of Mandarin Chinese. It is based on the assumption that the behavioral characteristics of vocal-fold elongation in vibration could be approximated by those of a simple forced vibrating system. … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,050 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Analysis of Structures Using Neural NetworksN. Ahmadi, R. Kamyab Moghadas, A. LavaeiIn the recent years, neural networks are considered as the best candidate for fast approximation with arbitrary accuracy in the time consuming problems. Dynamic analysis of structures against earthquake has the time consuming process. We employed two kinds of neural networks: Generalized Regression neural network (GR) and Back-Propagation Wavenet neural network (BPW), for approximating of dynamic time history response of … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,154 accessesView PDFCite
Research ArticleOpen accessIn the abstractElectronic Energies in Delta Doped AlGaAs/GaAs HeterostucturesA. Meftah, H. Ajlani, A. Marzouki et al.The band bending of the potential at the AlGaAs/GaAs interface increases with the electrons concentration in the GaAs channel. This band bending is often ignored in the theoretical calculation of the electronic energies and a linear potential approximation was used. This led to imprecise energy values and occupied subband configurations. We have taken account of the band bending in the … …American Journal of Applied Sciences, Vol. 5, Issue 4 · 30 Apr 2008 · 6,931 accessesView PDFCite
Research ArticleOpen accessIn the abstractFPGA Based SPWM Bridge InverterM. N. Md Isa, M.I. Ahmad, Sohiful A.Z. Murad, M.K. Md ArshadThis study presents methodology to generate sinusoidal pulse width modulation (SPWM) signal using Field Programmable Gate Array, FPGA technology. We discussed the unipolar switching scheme and the methodology to generate the signal with the predetermined switching frequencies. Simulation on the designed pulses was conducted using Altera Max Plus II simulation tools. This simulation method was used to get the desired … …American Journal of Applied Sciences, Vol. 4, Issue 8 · 31 Aug 2007 · 7,396 accessesView PDFCite