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101 results for “Prediction Error”
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Research ArticleOpen accessIn the abstractA Two-Dimensional Wave Prediction Model Along the Best Track of Typhoon Linda 1997Worachat Wannawong, Usa W. Humphries, Prungchan Wongwises et al.Problem statement: A two-dimensional wave prediction model along the best track of Typhoon Linda 1997 was interested to study the impact of typhoon wind-wave characteristics. The dynamical wave model with deep water condition was used to predict the wave height (Hs) of Typhoon Linda before and after entering into the Gulf of Thailand (GoT). Approach: The standard one-way nested grid … …American Journal of Environmental Sciences, Vol. 6, Issue 3 · 30 Jun 2010 · 7,246 accessesView PDFCite
Research ArticleOpen accessIn the abstractCreep predicting model in masonry structure utilizing dynamic neural networkMustafa M. Abed, A. El-Shafie, Siti Aminah Bt. OsmanProblem statement: When the loads are applied to a brickwork structure, visco-elastic behavior upon their stress-strain relationships is exhibited, where the response can be classified into two separate parts: an instantaneous elastic strains and time-dependent creep strains. The creep strain represents the non- instantaneous strain that happens with time when the stress is sustained. Through the previous century, along with … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,631 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Based Model for Forecasting Sugar Cane ProductionO. O. Obe, D. K. ShangodoyinProblem statement: The global need for alternative energy source has necessitated the exploration of vast organic agricultural products with a view of processing them for the production of ethanol in commercial quantity. To ascertain a sustainable production of ethanol from processed sugar cane, a predictive model based on non-linearity nature of its production is imperative. This is due to unavailability … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,272 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Approach of Adaptive Network-Based Fuzzy Inference System Modeling in Laser Processing-A Graphical User Interface (GUI) BasedSivarao, Peter Brevern, N. S.M. El-TayebProblem statement: The power of Artificial Intelligent (AI) becomes more authoritative when the system is programmed to cater the need of complex applications. MATLAB 2007B, integrating artificial intelligent system and Graphical User Interface (GUI) has reduced researchers' fear-to-model factor due to unfamiliarity and phobia to produce program codes. Approach: In this study, how GUI was developed on Matlab to model … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 7,010 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractANN Based Prediction of Effect of Reinforcements on Abrasive Wear Loss and Hardness in a Hybrid MMCP. Sathyabalan, V. Selladurai, P. SakthivelProblem statement: The reinforcements added to an alloy lead to variation in properties. The content and size of the reinforcement influences the properties of composites. Very little research has been carried out in hybrid composites. Work on hybrid LM6 aluminium alloy metal matrix composites (MMC) with flyash and SiC has been initiated here. The effect of the four parameters, size … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 7,558 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of the Daily Mean PM10 Concentrations Using Linear ModelsJ. C.M. Pires, F. G. Martins, S. I.V. Sousa et al.The performance of five linear models to predict the daily mean PM10 concentrations was compared. The linear models proposed were: (i) multiple linear regression; (ii) principal component regression; (iii) independent component regression; (iv) quantile regression; and (v) partial least squares regression. The study was based on data from an urban site in Oporto Metropolitan Area and the analysed period was … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,136 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligence System for Software Maintenance Severity PredictionParvinder Singh Sandhu, Sunil Kumar, Hardeep SinghThe software industry has been experiencing a software crisis, a difficulty of delivering software within budget, on time, and of good quality. This may happen due to number of defects present in the different modules of the project that may require maintenance. This necessitates the need of predicting maintenance urgency of the particular module in the software. In this paper, … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 6,947 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Application of Carhart Atom Pairs to Predict Anticonvulsant ActivityAlan Talevi, Julian J. Prieto, Luis E. Bruno-Blanch, Eduardo CastroAbout 50 million people in the world suffer from epilepsy, especially in childhood, adolescence and old age. Available treatment fails to control epilepsy in up to 30% of affected people. In developing countries, however, the amount of patients that do not receive adequate treatment climbs up to 75%. Moreover, the new generation of antiepileptic drugs (AEDs) causes important central and … …American Journal of Biochemistry and Biotechnology, Vol. 2, Issue 3 · 30 Sep 2006 · 6,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractEarth-To-Space Improved Model for Rain Attenuation Prediction at Ku-BandMandeep Singh Jit Singh, S. S.I. Hassan, M. F. Ain et al.A model for predicting rain attenuation on earth-to-space was developed by using the measurement data obtained from tropical and equatorial region. The proposed rain attenuation model uses the complete rainfall rate cumulative distribution as input data. It was shown that significant improvements in terms of prediction error over existing attenuation model obtained. …American Journal of Applied Sciences, Vol. 3, Issue 8 · 31 Aug 2006 · 6,729 accessesView PDFCite