87 results for “order prediction”

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Research ArticleOpen accessAll words, across the recordA TIME-DELAY CASCADING NEURAL NETWORK ARCHITECTURE FOR MODELING TIME-DEPENDENT PREDICTOR IN ONSET PREDICTIONAgus Buono, Imas Sukaesih Sitanggang, Mushthofa, Aziz KustiyoThe occurrence of rain before the real start of a rainy season often mislead farmers into thinking that rainy season has started and suggesting them to start planting immediately. In reality, rainy season has not started yet, causing the already-planted rice seed to experience dehydration. Therefore, a model that can predict the onset of rainy season is required, so that … …Journal of Computer Science, Vol. 10, Issue 6 · 29 Jan 2014 · 6,647 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordValidation 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 PDF Cite

Research ArticleOpen accessAll words, across the recordPrediction Model of Leaf Area in Soybean (Glycine max L.)Mohammad Nabi Ilkaee, Farzad Paknejad, Mohsen Zavareh et al.Abstract: Problem statement: Measure of leaf area by means of leaf area Meter is very expensive and difficult. Hence obtain of one simple model for calculate of leaf area in soybean (Glycine Max L.) is very necessary. Approach: In order to develop a suitable simple model for calculation of leaf area by means of leaf length and width, a Randomized … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 1 · 31 Jan 2011 · 8,672 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordScreening Three Strains of Pseudomonas aeruginosa: Prediction of Biosurfactant-Producer StrainGholamreza Dehghan-Noudeh, Mohammad Hasan Moshafi, Effat Behravan et al.Problem statement: The chemical surfactants have some disadvantages; especially, toxicity and no biodegradability. Approach: Biosurfactants were the structurally diverse group of surface-active molecules synthesize by micro-organisms. The microbial surfactants were interesting, because of the biodegradable and have many applications in industry, agriculture, medicine. Results: In the present study, the production of biosurfactant by three strains of Pseudomonas aeruginosa (PTCC 1074, … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,552 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordPrediction of Sulfur Dioxide (SO2) Concentration Levels from the Mina Al-Fahal Refinery in Oman Using Artificial Neural NetworksSabah A. Abdul-Wahab, Saleh M. Al-AlawiIn this investigation, two Artificial Neural Network (ANN) models were applied for predicting ground-level sulfur dioxide (SO2) in the Sultanate of Oman in order to provide an early warning advisory for the protection of public health. The objective of the first model (Model I) was to use ANN to predict sulfur dioxide (SO2) levels at certain receptors from the Mina … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,385 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordData-Driven Forecasting Schemes: Evaluation and ApplicationsJosip Vrbanek Jr, Wilson WangA reliable multi-step predictor is very useful to a wide array of applications to forecast the behavior of dynamic systems. The objective of this paper is to develop a more robust data-driven predictor for time series forecasting. Based on simulation analysis, it is found that multi-step-ahead forecasting schemes based on step inputs perform better than those based on sequential inputs. … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,565 accessesView PDF Cite

InvestigationOpen accessAll words, across the recordComparison of Green Roof Model Predictions with Experimental DataSergio Quezada-García, Manuela Azucena Escobedo-Izquierdo, Juan José Ambriz-García et al.In this study, the results of a green roof model are presented and compared with experimental data. Good agreement between simulation and experiment were found for different experimental conditions that were carried out in a controlled environment laboratory. The study of green roof heat transfer processes is important because it allows a better thermal design in buildings; the use of … …Energy Research Journal, Vol. 6, Issue 1 · 14 Jul 2015 · 7,225 accessesView PDF Cite