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119 results for “nonlinear model”
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Research ArticleOpen accessPhrase in the titleComparison of Nonlinear Models for Dry Matter Yield of Brachiaria Hybrid cv Cayman in Drought Season by BootstrappingDanny Villegas Rivas, Nora Valbuena Torres, Manuel Milla Pino et al.The dynamics of biomass accumulation at different seasons of the year is of vital importance in the production of a forage species. In this study nonlinear models (logistic and gompertz) to describe growth dynamics of plants based on dry matter yield of Brachiaria hybrid Cayman at different interval between cuts in drought season were used. Results for logistic and gompertz … …OnLine Journal of Biological Sciences, Vol. 21, Issue 1 · 15 Mar 2021 · 6,640 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCOMBINING LONG MEMORY AND NONLINEAR MODEL OUTPUTS FOR INFLATION FORECASTHeri Kuswanto, Irhamah, Laylia AfidahLong memory and nonlinearity have been proven as two models that are easily to be mistaken. In other words, nonlinearity is a strong candidate of spurious long memory by introducing a certain degree of fractional integration that lies in the region of long memory. Indeed, nonlinear process belongs to short memory with zero integration order. The idea of the forecast … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 7 Jul 2014 · 6,981 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleNonlinear Models and Experimental Investigation of Lifetime History of HSC Flexural BeamsK. Masti, A.A. Maghsoudi, R. RahgozarThe nature of fracture in high strength concrete is brittle and therefore, the investigation behavior of flexural high strength concrete (HSC) members is important. This paper describes the deflection, strain and energy ductility and the lifetime history of experimental and theoretical analysis of six caste reinforced HSC beams with different percentage of ρ and ρρ'. The beams were loaded incrementally … …American Journal of Applied Sciences, Vol. 5, Issue 3 · 31 Mar 2008 · 6,755 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOn Calculating the Hougaard Measure of Skewness in a Nonlinear Regression Model with Two ParametersS. A. EL-ShehawyProblem statement: This study presented an alternative computational algorithm for determining the values of the Hougaard measure of skewness as a nonlinearity measure in a Nonlinear Regression model (NLR-model) with two parameters. Approach: These values indicated a degree of a nonlinear behavior in the estimator of the parameter in a NLR-model. Results: We applied the suggested algorithm on an example … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,159 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Study of Thermal Contact using Nonlinear System Identification ModelsM.H. Shojaeefard, K. Goudarzi, A.R. Noorpoor, M. FazelpourOne interesting application of system identification method is to identify and control the heat transfer from the exhaust valve to the seat to keep away the valve from being damaged. In this study, two co-axial cylindrical specimens are used as exhaust valve and its seat. Using the measured temperatures at different locations of the specimens and with a semi-analytical method, … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 1 · 31 Mar 2008 · 7,528 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNonlinear Growth Models for Modeling Oil Palm Yield GrowthAzme Khamis, Zuhaimy Ismail, khalid Haron, Ahmad Tarmizi MohammedThis study provided the basic needs of parameters estimation for nonlinear growth model such as partial derivatives of each model, determination of initial values for each parameter and statistical tests of industrial usage. Twelve nonlinear growth models and its partial derivatives for oil palm yield growth are presented in this study. The parameters are estimated using the Marquardt iterative method … …Journal of Mathematics and Statistics, Vol. 1, Issue 3 · 30 Sep 2005 · 15,101 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance of Multiple Linear Regression and Nonlinear Neural Networks and Fuzzy Logic Techniques in Modelling House PricesSiti Amri, Gurudeo Anand TularamHouse price prediction continues to be important for government agencies insurance companies and real estate industry. This study investigates the performance of house sales price models based on linear and non-linear approaches to study the effects of selected variables. Linear stepwise Multiple Regression (MR) and nonlinear models of Neural Network (NN) and Adaptive Neuro-Fuzzy (ANFIS) are developed and compared. The … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 18 Dec 2012 · 8,430 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOn Nonlinear Age- and Stage-Structured Population ModelsArild WikanThe scope of this review article is to present and discuss various aspects of discrete nonlinear age- and stage-structured population models. We show that such models cover species which exhibit a wide range of different life histories and that one may use them in order to deduce fairly general ecological principles with respect to stability and dynamical outcomes. From a … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 6 Jul 2012 · 7,052 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRBFNN Model for Predicting Nonlinear Response of Uniformly Loaded Paddle CantileverAbdullah H. AbdullahThe Radial basis Function neural network (RBFNN) model has been developed for the prediction of nonlinear response for paddle Cantilever with built-in edges and different sizes, thickness and uniform loads. Learning data was performed by using a nonlinear finite element program, incremental stages of the nonlinear finite element analysis were generated by using 25 schemes of built paddle Cantilevers with … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 7,644 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDirect Model Reference Adaptive Controller Based-On Neural-Fuzzy Techniques for Nonlinear Dynamical SystemsHafizah Husain, Marzuki Khalid, Rubiyah YusofThis paper presents a direct neural-fuzzy-based Model Reference Adaptive Controller (MRAC) for nonlinear dynamical systems with unknown parameters. The two-phase learning is implemented to perform structure identification and parameter estimation for the controller. In the first phase, similarity index-based fuzzy c-means clustering technique extracts the fuzzy rules in the premise part for the neural-fuzzy controller. This technique enables the recruitment … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 6,939 accessesView PDFCite