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Research ArticleOpen accessIn the abstractDynamic Solution Code for Structural Analysis upon Joint ElementS. A. Sadrnejad, M. LabibzadehThe analysis of large structures mostly requires a complete three dimensional finite element discretization. Stability of such structures includes not only the stability of structure itself but also that of foundation as well as interconnection elements. The general instability of a structure may be affected by two aspects, firstly, an inappropriate preliminary classical design of the structure and inadequate control … …Journal of Computer Science, Vol. 2, Issue 5 · 31 May 2006 · 6,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractService Loyalty Measurement Scale: A Reliability AssessmentJ. Clement Sudhahar, Duraipandian Israel, A. Prabhu Britto, M. SelvamThis research article demonstrates the application of Confirmatory Factor Analysis (CFA) in the scale development process of measuring the construct Service Loyalty (SERVLOYAL). The conceptualization of SERVLOYAL is presented, the dimensions forming the SERVLOYAL construct are figured out. The nitty-gritty of CFA is discussed. And the results of CFA analysis for SERVLOYAL scale developed are found to be reliable. This … …American Journal of Applied Sciences, Vol. 3, Issue 4 · 30 Apr 2006 · 7,860 accessesView PDFCite
Research ArticleOpen accessIn the abstractSplitting Technique Initialization in Local PCAAlok Sharma, Kuldip K. Paliwal, Godfrey C. OnwuboluThe local Principal Component Analysis (PCA) reduces linearly redundant components that may present in higher dimensional space. It deploys an initial guess technique which can be utilized when the distribution of a given multivariate data is known to the user. The problem in initialization arises when the distribution is not known. This study explores a technique that can be easily … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractConsumer Choice Prediction: Artificial Neural Networks versus Logistic ModelsChristopher Gan, Visit Limsombunchai, Mike Clemes, Amy WengConventional econometric models, such as discriminant analysis and logistic regression have been used to predict consumer choice. However, in recent years, there has been a growing interest in applying artificial neural networks (ANN) to analyse consumer behaviour and to model the consumer decision-making process. The purpose of this paper is to empirically compare the predictive power of the probability neural … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 8,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractInverse Correlations for Multiple Time Series and Gaussian Random Fields and Measures of Their Linear DeterminismR.J. Bhansali, L. IppolitiFor a discrete-time vector linear stationary process, {X(t)}, admitting forward and backward autoregressive representations, the variance matrix of an optimal linear interpolator of X(t), based on a knowledge of {X(t-j), j≠0}, is known to be given by Ri(0)-1 where Ri(0) denotes the inverse variance of the process. Let A=Is-1Ri(0)ˉ1R(0)ˉ1, where R(0) denotes the variance matrix of {X(t)} and Is an … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractParsimonious Var Models For Air Pollution Dynamic AnalysisFontanella lara, Granturco mariagraziaWe discuss a framework to obtain temporal predictions for an evolving spatial field regularly sampled in time at arbitrary spatial locations. Difficulties caused by large data sets and the modelling of complicated spatio-temporal interactions limit the effectiveness of traditional space-time statistical models. In this study, we propose the use of a flexible approach to deal with large and small time-scale … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,181 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling of Transient Heat Flux in Spark Ignition Engine During Combustion and Comparisons with ExperimentT. F. Yusaf, Sye Hoe, Fong et al.A quasi-one dimensional engine cycle simulation program was developed to predict the transient heat flux during combustion in a spark ignition engine. A two-zone heat release model was utilized to model the combustion process inside the combustion chamber. The fuel, air and burned gas properties throughout the engine cycle were calculated using variable specific heats. The transient heat flux inside … …American Journal of Applied Sciences, Vol. 2, Issue 10 · 31 Oct 2005 · 7,173 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybridization of Neural Learning Algorithms Using Evolutionary and Discrete Gradient ApproachesRanadhir Ghosh, John Yearwood, Moumita Ghosh, Adil BagirovIn this study we investigated a hybrid model based on the Discrete Gradient method and an evolutionary strategy for determining the weights in a feed forward artificial neural network. Also we discuss different variants for hybrid models using the Discrete Gradient method and an evolutionary strategy for determining the weights in a feed forward artificial neural network. The Discrete Gradient … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,587 accessesView PDFCite