Search Results - (( initial equation modeling algorithm ) OR ( java implication based algorithm ))

Search alternatives:

Refine Results
  1. 1
    Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925)

    Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925) by Kamarudin, Nur Azulia

    Published 2021
    “…Simulation analysis was conducted under two strengths of correlation among equations and two levels of significance for a two-equation model with up to 18 variables in the initial general unrestricted model (GUM). …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  2. 2
    SURE-Autometrics algorithm for model selection in multiple equations

    SURE-Autometrics algorithm for model selection in multiple equations by Norhayati, Yusof

    Published 2016
    “…Thus, this study aims to develop an algorithm for model selection in multiple equations focusing on seemingly unrelated regression equations (SURE) model. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Multiple equations model selection algorithm with iterative estimation method

    Multiple equations model selection algorithm with iterative estimation method by Kamarudin, Nur Azulia, Ismail, Suzilah

    Published 2016
    “…In particular, an algorithm on model selection for seemingly unrelated regression equations model using iterative feasible generalized least squares estimation method is proposed. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Approximating Non Linear Higher Order ODEs By A Three Point Block Algorithm

    Approximating Non Linear Higher Order ODEs By A Three Point Block Algorithm by Nurullah Rasedee, Ahmad Fadly, Abdul Sathar, Mohammad Hasan, Othman, Khairil Iskandar, Hamzah, Siti Raihana, Ishak, Norizarina

    Published 2024
    journal::journal article
    Save to List
    Saved in:
  5. 5
    Ball surface representations using partial differential equations

    Ball surface representations using partial differential equations by Kherd, Ahmad Saleh Abdullah

    Published 2015
    “…Over two decades ago, geometric modelling using partial differential equations (PDEs) approach was widely studied in Computer Aided Geometric Design (CAGD). …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Comparison between newton divided-difference interpolation, lagrange interpolation and least square method for solving nonlinear equation / Nur Aniqah Fazirah Zekeri

    Comparison between newton divided-difference interpolation, lagrange interpolation and least square method for solving nonlinear equation / Nur Aniqah Fazirah Zekeri by Zekeri, Nur Aniqah Fazirah

    Published 2020
    Get full text
    Get full text
    Student Project
    Save to List
    Saved in:
  7. 7
    Mathematical modelling of mass transfer in multi-stage rotating disc contactor column

    Mathematical modelling of mass transfer in multi-stage rotating disc contactor column by Arshad, Khairil Anuar, Talib, Jamalludin, Maan, Normah

    Published 2006
    “…Based on this formulation, a Mass Transfer of A Single Drop (MTASD) Algorithm was designed, followed by a more realistic Mass Transfer of Multiple Drops (MTMD) Algorithm which was later re¯ned to become another algorithm named the Mass Transfer Steady State (MTSS) Algorithm. …”
    Get full text
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  8. 8
    Modification of Euler method for solving first order ordinary differential equation And application on exponential population growth model / Nur Aina Sariman

    Modification of Euler method for solving first order ordinary differential equation And application on exponential population growth model / Nur Aina Sariman by Sariman, Nur Aina

    Published 2020
    Get full text
    Get full text
    Student Project
    Save to List
    Saved in:
  9. 9
    Kinetic Parameter Estimation in Alkylation of Benzene with 1-Decene through Hybrid Particle Swarm Optimization

    Kinetic Parameter Estimation in Alkylation of Benzene with 1-Decene through Hybrid Particle Swarm Optimization by Mohd Zulkefle, Nurul Farihah

    Published 2012
    “…Afterwards, the solution obtained using PSO algorithm is given as initial guesses to the Levenberg–Marquardt algorithm to determine the improved optimal solution. …”
    Get full text
    Get full text
    Final Year Project
    Save to List
    Saved in:
  10. 10
    ODEcal: ordinary differential equation calculator by using MATLAB-GUI

    ODEcal: ordinary differential equation calculator by using MATLAB-GUI by Baki, Nur Afriza, Idalisa, Nur, Ghazali, Muhammad Hanif, Hussian, Nurul Hafawati Fadhilah, Fakhri, Imza

    Published 2023
    “…The ODEcal is an acronym for the Ordinary Differential Equations calculator. It is a standalone application developed using MATLAB App Designer to solve initial value problems of Differential Equations (ODEs) numerically. …”
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  11. 11
    Evaluation of a spacecraft attitude and rate estimation algorithm

    Evaluation of a spacecraft attitude and rate estimation algorithm by Abdullah, Mohammad Nizam Filipski, Varatharajoo, Renuganth

    Published 2010
    “…Findings: Given some attitude and rate error requirements, the range of admissible initial errors on the filter state and the effect of un‐modelled disturbance torque are determined, along with the achievable attitude and rate accuracies. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column

    Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column by Maan, Normah

    Published 2005
    “…Based on this formulation, a Mass Transfer of A Single Drop (MTASD) Algorithm was designed, followed by a more realistic Mass Transfer of Multiple Drops (MTMD) Algorithm which was later refined to become another algorithm named the Mass Transfer Steady State (MTSS) Algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources

    Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources by Kumar, A., Ridha, S., Narahari, M., Ilyas, S.U.

    Published 2021
    “…The proposed DNN algorithm is structured to incorporate initial/boundary conditions in cylindrical coordinates and approximate the solution without the aid of any simulated or training data. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Prediction of tuberculosis disease using SIR model with implementation of Euler and Fourth Order Runge-Kutta methods / Nabilah Nasuha Azmy & Nur Diana Syamira Mohd Nordin

    Prediction of tuberculosis disease using SIR model with implementation of Euler and Fourth Order Runge-Kutta methods / Nabilah Nasuha Azmy & Nur Diana Syamira Mohd Nordin by Azmy, Nabilah Nasuha, Mohd Nordin, Nur Diana Syamira

    Published 2019
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Numerical analysis on chaos attractors using a backward difference formulation

    Numerical analysis on chaos attractors using a backward difference formulation by Rasedee, A. F. N., Abdul Sathar, M. H., Mohd Najib, N., Wong, T. J., Koo, L. F.

    Published 2022
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    An effective wavelet neural network approach for solving first and second order ordinary differential equations

    An effective wavelet neural network approach for solving first and second order ordinary differential equations by Lee Sen Tan, Lee Sen Tan, Zainuddin, Zarita, Pauline Ong, Pauline Ong, Abdullah, Farah Aini A

    Published 2024
    “…The proposed WNNs approach is then rigorously evaluated by solving first and second order ODEs, including initial value problems, singularly perturbed boundary value problems, and a Lane–Emden type equation. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Simulation of the distributed rainfall-runoff process

    Simulation of the distributed rainfall-runoff process by Huang, Yuk Feng, Lee, Teang Shui

    Published 2011
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    A novel theoretical and practical methodology for extracting the parameters of the single and double diode Photovoltaic models

    A novel theoretical and practical methodology for extracting the parameters of the single and double diode Photovoltaic models by Mohammed Ridha, Hussein, Hizam, Hashim, Mirjalili, Seyedali, Othman, Mohammad Lutfi, Ya’acob, Mohammad Effendy, Abualigah, Laith

    Published 2022
    “…Firstly, the objective function is efficiently designed to roughly predict the initial root values of the PV equation. Secondly, the Lévy flight and Brownian strategies are integrated in the four operators of AOA to thoroughly analyze the feature space of this problem. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Operational matrix based on orthogonal polynomials and artificial neural networks methods for solving fractal-fractional differential equations

    Operational matrix based on orthogonal polynomials and artificial neural networks methods for solving fractal-fractional differential equations by Shloof, Aml Melad Asan

    Published 2024
    “…This study provided some new methods to solve initial value problems (IVPs) and boundary value problems (BVPs) of fractal-fractional differential equations (FFDEs) using operational matrix (OM) and artificial neural networks (ANNs). …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: