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Estimation of parameters

Xem 1-20 trên 581 kết quả Estimation of parameters
  • This article introduces a KBF designed for a simplified spatial vehicle model that uses only the vertical, roll, and pitch velocity of the sprung mass as measured outputs to estimate the sprung mass and roll and pitch moment of inertia of a two-axle truck.

    pdf11p vithomson 02-07-2024 0 0   Download

  • Part 2 of ebook "Entropy theory and its application in environmental and water engineering" provides readers with contents including: parameter estimation; spatial entropy; inverse spatial entropy; entropy spectral analyses; minimum cross entropy spectral analysis; evaluation and design of sampling and measurement networks; election of variables and models;...

    pdf332p mothoiphong 28-06-2024 2 1   Download

  • Part 2 book "Intelligent control of connected plug in hybrid electric vehicles" includes content: Multi-parametric predictive control, control relevant parameter estimated strategy, smart ecological supervisory controls, real time trip planning module development and evaluation, route based supervisory controls, ecological cruise control, conclusions.

    pdf115p dianmotminh03 11-06-2024 1 1   Download

  • In this paper, the research done is about the risk distribution model estimation on health insurance claims using Bayesian. The objective is to derive a health insurance risk model and determine the amount of net premium for each insured age group in health insurance. The sample of this study is the participant of health insurance in the Bandung area, Indonesia, especially for the insured who live in flood-prone areas.

    pdf10p longtimenosee10 26-04-2024 3 1   Download

  • Neural network technology has been successfully applied in many business areas. This paper systematic summarizes the applications of neural network technology in supply chain management, which include three areas: optimization , forecasting and decision support. It uses supply chain - specific parameter estimation using supply chain processing techniques to model the optimal network system.

    pdf5p longtimenosee06 27-03-2024 9 2   Download

  • Part 2 book "Multi-objective optimization in chemical engineering" includes content: Parameter estimation in phase equilibria calculations using multi objective evolutionary algorithms, phase equilibrium data reconciliation using multi objective differential evolution with tabu list, ecodesign of chemical processes with multi objective genetic algorithms,...and other contents.

    pdf259p muasambanhan09 12-03-2024 1 0   Download

  • Part 2 book "Data processing and reconciliation for chemical process operations (Vol 2)" includes content: Rectification of process measurement data in dynamic situations; joint parameter estimation–data reconciliation; estimation of measurement error variances from process data; new trends; case studies.

    pdf134p muasambanhan09 16-03-2024 4 1   Download

  • In modern times, the usage of medicinal plants and herbal medicines in therapy has been increasingly popular. The World Health Organization estimates that 80% of the world’s population uses herbal medicinal products for their therapeutic virtues.

    pdf8p vilarry 12-03-2024 5 2   Download

  • Part 2 book "Applied parameter estimation for chemical engineers" includes content: Gauss-Newton method for partial differential equation (PDE) models, statistical inferences, design of experiments, recursive parameter estimation, parameter estimation in nonlinear thermodynamic models - cubic equations of state, parameter estimation in nonlinear thermodynamic models - activity coefficients, parameter estimationin chemical reaction kinetic mode,... and other contents.

    pdf268p muasambanhan08 01-03-2024 4 1   Download

  • Part 1 book "Applied parameter estimation for chemical engineers" includes content: Formulation of the parameter estimation problem, computation of parameters in linear models linear regression, Gauss Newton method for algebraic models, other nonlinear regression methods for algebraic models, gauss newton method for ordinary differential equation (ODE) models, shortcut estimation methods for ODE models, practical guidelinesf or algorithm implementation, constrained parameter estimation.

    pdf191p muasambanhan08 01-03-2024 0 0   Download

  • Part 1 book "Applied statistics and probability for engineers" includes content: The role of statistics in engineering; probability; discrete random variables and probability distributions; continuous random variables and probability distributions; joint probability distributions; descriptive statistics; sampling distributions and point estimation of parameters; statistical intervals for a single sample; tests of hypotheses for a single sample.

    pdf366p muasambanhan06 01-02-2024 7 1   Download

  • Part 1 book "Introduction to probability and statistics for engineers and scientists" includes content: Introduction to statistics, descriptive statistics, elements of probability, random variables and expectation, special random variables, distributions of sampling statistics, parameter estimation.

    pdf358p muasambanhan06 01-02-2024 1 1   Download

  • This paper presents a model for estimating the losses of MOSFETs, thermal resistance of heat sink when incorporating the impact of cooling fans. Following this, a proposition is presented for the selection of appropriate heatsink and fan parameters.

    pdf9p vimichaelfaraday 28-12-2023 3 3   Download

  • The article's content is to present a control method for moving robots to follow precise orbits without relying entirely on the model, which is an adaptive controller thanks to iterative learning types PD. Used smart online learning parameters.

    pdf8p vimichaelfaraday 28-12-2023 6 6   Download

  • This paper presents a new method to estimate online four parameters of the interior permanent magnet synchronous motors (IPMSM), including stator resistance, d-axis inductance, q-axis inductance and permanent magnet flux linkage.

    pdf8p vimichaelfaraday 14-12-2023 9 4   Download

  • Part 2 book "Linear models for the prediction of animal breeding values" includes content: Analysis of longitudinal data, use of genetic markers in breeding value prediction, computation of genomic breeding values and genomic selection, non additive animal models, analysis of ordered categorical traits, survival analysis, estimation of genetic parameters,.... and other contents.

    pdf214p oursky06 17-10-2023 8 3   Download

  • Continued part 1, part 2 of ebook "Advances in tourism economics: New developments" provides readers with contents including: assessment of tourism impacts; estimating tourism impacts using input–output and SAM models in the Balearic islands; estimating tourism effects on residents; trends in the tourist market; tourism and strategic competition in the air transport industry;...

    pdf190p dangsovu 20-10-2023 7 4   Download

  • This study focuses on optimizing the hyperparameters of the XGB model by a grid search to find an optimal XGB predictive model. In addition, the effect of input parameters on the SCCRF's CS is studied using Shapley Additive exExplanations (SHAP) values technique.

    pdf15p visharma 20-10-2023 7 4   Download

  • In this study, the Machine Learning (ML) approach has been adopted using Random Forest (RF) model to estimate the CBR of the soil based on 10 input parameters such as Plasticity Index (PI), Liquid Limit (LL), Silt Clay content (SC), Fine Sand content (FS), Coarse sand content (CS), Optimum Water Content (OWC), Organic content (O), Plastic Limit (PL), Gravel content (G), and Maximum Dry Density (MDD), which can be easily determined in the laboratory.

    pdf14p visharma 20-10-2023 8 4   Download

  • This study presents a force control approach for an EHA system using a combination of a feedforward-based PID (FPID) controller and a grey predictor (GP), shortened as grey predictor-based feedforward PID Controller (GPFPID). The FPID controller is used to drive the system to desired targets. Meanwhile, the GP predictor takes part in estimating the output in the near future to optimize the controller parameters in advance and to create a compensating control signal corresponding to the system perturbations, consequently, improving the control performance.

    pdf4p giangnhanly 02-10-2023 7 3   Download

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