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56 articles for “Root Mean Square Error”
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Research ArticleOpen accessIn the keywordsPredicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term MemoryThambusamy Velmurugan, Thiruvalluvan IndhumathyPredictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is time and there have been a considerable number of time series analytical models that are used for forecasting. Long Short-Term Memory (LSTM) is a deep … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWeather Forecasting Using Merged Long Short-Term Memory Model (LSTM) and Autoregressive Integrated Moving Average (ARIMA) ModelAfan Galih Salman, Yaya Heryadi, Edi Abdurahman, Wayan SupartaWeather forecasting is an interesting research problem in flight navigation area. One of the important weather data in aviation is visibility. Visibility is an important factor in all phases of flight, especially when the aircraft is maneuvering on or close to the ground, i.e., during taxi-out, take-off and initial climb, approach and landing and taxi-in. The aim of these study … …Journal of Computer Science, Vol. 14, Issue 7 · 28 Jun 2018 · 11,422 accessesView PDFCite
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 PDFCite
Research ArticleOpen accessIn the keywordsEffects of Environmental Noises on Fundamental Frequency Contours of Thai Expressive SpeechSuphattharachai Chomphan, Chutarat ChompunthProblem statement: The expressive speech of Thai had been studied for a short period of time. An important feature of speech was fundamental frequency (F0) which defines the human speech prosody. It could be used to distinguish the difference between several types of expressive speech. The environmental noises affect the F0 contour for Thai dialects as concluded in the previous … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 28 Jun 2012 · 6,907 accessesView PDFCite
Research ArticleOpen accessIn the keywordsValidation of the Ceres-Wheat for Prediction of Wheat Varieties in Irrigation and Terminal Drought StressFarzad Paknejad, Fatemeh Majidi Fakhr, Seied Mehdi MirtaheriProblem statement: Crop growth models have many potential uses for crop managements. Approach: In order to evaluation of CERES-Wheat model on five varieties of winter wheat in Karaj weather condition in Full Irrigation (FI) and Stop Irrigation (SI) after flowering until final growth stage an experiment conducted in shape of split plot in based on randomize complete block design with … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 2 · 16 Mar 2012 · 7,723 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEfficient Web Usage Miner Using Decisive Induction RulesK. Poongothai, S. SathiyabamaProblem statement: Web usage mining is the technique of extracting useful information from server logs (user’s history) and finding out what users are looking for on the Internet. This type of web mining allows for the collection of Web access data for Web pages. Scope: The web usage data provides the paths leading to accessed Web pages with prefrences and … …Journal of Computer Science, Vol. 8, Issue 6 · 14 Mar 2012 · 6,899 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffects of Noises on the Analysis of Fundamental Frequency Contours for Thai SpeechSuphattharachai ChomphanProblem statement: In speech communication, noises from surrounding environments affect the communication quality with various aspects. The received speech quality should be analyzed to see how the important noises reduce the speech quality so that we can eliminate them in an appropriate way. Approach: This study presents a study on the analysis of the noise effects on Thai speech. Four … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,827 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBootstrap Method for Dependent Data Structure and Measure of Statistical PrecisionT. O. Olatayo, G. N. Amahia, T. O. ObiladeProblem statement: This article emphasized on the construction of valid inferential procedures for an estimator θ^ as a measure of its statistical precision for dependent data structure. Approach: The truncated geometric bootstrap estimates of standard error and other measures of statistical precision such as bias, coefficient of variation, ratio and root mean square error are considered. Results: We extend it … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,258 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRanking 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 PDFCite
Research ArticleOpen accessIn the keywordsFuel Prediction Model for Driving Patterns Using Machine Learning TechniquesManjunath TK, Ashok Kumar PSIn recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing environmental impact. This proposed model presents a machine learning-based approach for developing a fuel prediction model using the real dataset. The model aims to predict fuel efficiency for different drivers by … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,480 accessesView PDFCite