7 results for “Root Mean Square of Errors”

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Research ArticleOpen accessIn the keywordsUnivariate Generalized Additive Models for Simulated Stationary and Non-Stationary Generalized Pareto DistributionMostafa Behzadi, Mohd Bakri Adam, Anwar FitriantoGeneralized additive models as a predictor in regression approaches, are made up over cubic spline basis and penalized regression splines. Despite of linear predictor in GLM, generalized additive models use a sum of smooth functions of covariates as a predictor. The data which are used in this study have generalized Pareto distribution and have been simulated by inversion method. The … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 3 Jun 2017 · 7,430 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBuilding Energy Modeling Using Artificial Neural NetworksMaya Arida, Nabil Nassif, Rand Talib, Taher Abu-LebdehAccurate modeling of total building energy is now vital to reduce energy consumption. This is especially true for buildings since they are considered as the largest energy consumer in the United States. This paper investigates modeling methods for building energy-systems using non-linear auto-regression artificial neural networks. The proposed model can forecast the whole building energy consumptions given the four input … …Energy Research Journal, Vol. 7, Issue 2 · 6 Jun 2017 · 7,125 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThai Dialects and Structural Modeling with NoisesSuphattharachai Chomphan, Numchok Budwong, Sirarot PreechatanapojFundamental Frequency (F0) conveys the prosodic information of the human speech. The modeling of the dialects’ F0 in a particular language is vital issue that should be taken into account. Four main dialects are spoken in different regions of Thailand including central, north, northeast and south regions. Another important issue is the environmental noises which is often be perceived in … …American Journal of Applied Sciences, Vol. 10, Issue 2 · 25 Feb 2013 · 6,619 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStructural Modeling of Fundamental Frequency contour for Thai TonesSuphattharachai ChomphanProblem statement: In Thai, tone is an essential feature of a prosodic syllable to identify the meanings of that syllable or that part of word. To generate the tonal speech with natural prosody, it is needed to manage the fundamental frequency (F0) of the speech appropriately. A successful approach of structural modeling from Mandarin Chinese has been adapted to model … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,122 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEffects of Noises on Fundamental Frequency Extraction Using Cepstral Analysis for Thai DialectsSuphattharachai ChomphanProblem statement: The fundamental frequency (F0) of the human speech corresponds to the vibration frequency of the human vocal chords. To extract the F0 from a speech utterance, one approach is based on the Cepstral analysis. In Thai, there are four main dialects spoken by Thai people residing in four core region including central, north, northeast and south regions. Environmental … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 28 Jul 2012 · 6,908 accessesView PDF Cite

Research ArticleOpen accessIn the abstractRanking of Simultaneous Equation Techniques to Small Sample Properties and Correlated Random DeviatesA. A. Adepoju, J. O. OlaomiProblem statement: All simultaneous equation estimation methods have some desirable asymptotic properties and these properties become effective in large samples. This study is relevant since samples available to researchers are mostly small in practice and are often plagued with the problem of mutual correlation between pairs of random deviates which is a violation of the assumption of mutual independence between … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 6,594 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordCommunity Aware Recommendation System with Explicit and Implicit Link PredictionMuhammed E Abd Alkhalec Tharwat, Mohd Farhan Md Fudzee, Shahreen Kasim et al.Recommendation systems are essential tools that help users discover content they may be interested in, amidst the vast amount of information available online. However, current methods, such as using historical user-item interactions and collaborative filtering, have limitations in accurately predicting user preferences. Our research aims to address these challenges and improve the performance of recommendation systems. In this article, we … …Journal of Computer Science, Vol. 19, Issue 8 · 19 Jul 2023 · 5,858 accessesView PDF Cite