Search Results - (( data application testing algorithm ) OR ( variable estimation using algorithm ))

Search alternatives:

Refine Results
  1. 1
    Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases

    Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases by Hafeez, Ahmad

    Published 2021
    “…The performance of MLѡвсн and four more modified ML-tests, namely MLtests with banded Cholesky estimator MLвсн with Thresholding MLтн with Weiszfeld Algorithm MLѡ and with Weiszfeld’s Algorithm Estimator and Thresholding MLѡтн had been examined using Type I error and power of test values in a simulation study. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA

    SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA by AHMED IZZELDIN, HUZAIFA TAWFEIG

    Published 2012
    “…The proposed data store management technique is combined with the central finite difference based gradient estimate to generate a model robust against both correlated data and irregular sampled data. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Processing time estimation in precision machining industry using AI / Lim Say Li

    Processing time estimation in precision machining industry using AI / Lim Say Li by Lim, Say Li

    Published 2017
    “…Neural Network (NN) model is chosen as the artificial intelligence approach used in this research. Levenberg-Marquardt algorithm is used as the training algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Robust Estimation Methods And Outlier Detection In Mediation Models

    Robust Estimation Methods And Outlier Detection In Mediation Models by Fitrianto, Anwar

    Published 2010
    “…The Ordinary Least Squares (OLS) method is often use to estimate the parameters of the mediation model. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Feature selection and optimal neural network algorithm for the state of charge estimation of lithium-ion battery for electric vehicle application

    Feature selection and optimal neural network algorithm for the state of charge estimation of lithium-ion battery for electric vehicle application by Hossain Lipu M.S., Hannan M.A., Hussain A.

    Published 2023
    Article
    Save to List
    Saved in:
  6. 6
    A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling

    A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling by Purnomo, Muhammad Ridwan Andi, Abdul Wahab, Dzuraidah, Hassan, Azmi, Rahmat, Riza Atiq

    Published 2009
    “…PGA is included in the TSK-Fuzzy system to determine the optimum parameters in the Fuzzy sets and Fuzzy rules so as to improve the accuracy of the tire-road slippage index estimation. A set of data in a size of 38 × 4 and 22 × 4 were used for training and testing the performance of the model. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Power System State Estimation In Large-Scale Networks

    Power System State Estimation In Large-Scale Networks by NURSYARIZAL MOHD NOR, NURSYARIZAL

    Published 2010
    “…The developed program is suitable either to estimate the UPFC controller parameters or to estimate these parameter values in order to achieve the given control specifications in addition to the power system state variables.…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Design of artificial intelligence based speed estimator for DC drives / Pauziah Saleh

    Design of artificial intelligence based speed estimator for DC drives / Pauziah Saleh by Saleh, Pauziah

    Published 2006
    “…The training took only few minutes on a PC for the 30000 input-output training data . For this purpose, the Lavenberg-Marquardt back propagation algorithm was used. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Comparing means of two non-homogeneous normal populations

    Comparing means of two non-homogeneous normal populations by Abd Rahman, Mohd Nawi

    Published 1986
    “…The statistic is shown to be a one-degree chi-square variable. An application on the proposed technique using an experimental data is given.…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS

    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS by AYOUB MOHAMMED, MOHAMMED ABDALLA

    Published 2011
    “…The ANN model has been developed using resilient back-propagation learning algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Production quantity estimation using an improved artificial neural network

    Production quantity estimation using an improved artificial neural network by Dzakiyullah, Raden Nur Rachman

    Published 2015
    “…The cross-validation is common technique used to prevent over fitting problem by dividing the data into two categories namely data training and data test. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Development of a building energy analysis package (BEAP) and its application to the analysis of cool thermal energy storage systems

    Development of a building energy analysis package (BEAP) and its application to the analysis of cool thermal energy storage systems by Senawi, M. Y.

    Published 2001
    “…In a validation study, strong agreement between simulation results from the new SHEAP-2 package, and the measured data of a test house is obtained. The new package is also verified using a commercial program. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Applications of Data-driven Models for Daily Discharge Estimation Based on Different Input Combinations

    Applications of Data-driven Models for Daily Discharge Estimation Based on Different Input Combinations by Kumar M., Elbeltagi A., Pande C.B., Ahmed A.N., Chow M.F., Pham Q.B., Kumari A., Kumar D.

    Published 2023
    Article
    Save to List
    Saved in:
  14. 14
    A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm

    A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm by Masood, Kamal

    Published 2015
    “…The model is simple in application with the use of genetic algorithm for model calibration making use of only the material fatigue limit. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Maximum 2-satisfiability in radial basis function neural network

    Maximum 2-satisfiability in radial basis function neural network by Shehab Abdulhabib Alzaeemi, Saratha Sathasivam, Mohd Shareduwan Mohd Kasihmuddin, Mohd. Asyraf Mansor

    Published 2020
    “…We utilize Dev C++ as the platform of training and testing our proposed algorithm. In this study, the effectiveness of RBFNN-MAX2SAT can be estimated by evaluating the proposed models with testing data sets. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Design of Artificial Neural Network (ANN) based rotor speed estimator for DC drives / Siti Mutrikah Abd Mokhsin

    Design of Artificial Neural Network (ANN) based rotor speed estimator for DC drives / Siti Mutrikah Abd Mokhsin by Abd Mokhsin, Siti Mutrikah

    Published 2002
    “…For this purpose the Levenberg-Marquardt back-propagation algorithm was used. The training took only a few minutes on a PC and for this purpose 30000 inputoutput training data were used. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Measurement Of Power Flow And State Of Charge Of Li-Ion Battery Pack For Hybrid/Electrical Vehicle Application

    Measurement Of Power Flow And State Of Charge Of Li-Ion Battery Pack For Hybrid/Electrical Vehicle Application by Samsuni, Muhammad Shafiq

    Published 2014
    “…The simulation of this project is to estimate by using current and voltage level employing different algorithm. …”
    Get full text
    Get full text
    Final Year Project
    Save to List
    Saved in:
  18. 18
    "Application of Neural Network in developing Virtual Analyzer of Reformate Research Octane Number"

    "Application of Neural Network in developing Virtual Analyzer of Reformate Research Octane Number" by Suharin, Zuraihan Selina

    Published 2005
    “…For this case study, Backpropagation Network and Levenberg Algorithm are used. To evaluate the performance of the neural network model, the trained network was simulated using data that the network has not been trained before. …”
    Get full text
    Get full text
    Final Year Project
    Save to List
    Saved in:
  19. 19
    Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration

    Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration by Chia, Min Yan

    Published 2022
    “…As for the NNE, a novel meta-learner based on the stochastic-enabled extreme learning machine integrated with whale optimisation algorithm (WOA-ELM) was developed and used in such an application for the first time. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  20. 20
    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network

    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network by Mohd Hamdan, Eleena Yasmeen

    Published 2021
    “…The ANN-based models could serve as reliable and useful tools in estimating the WQI of the river.…”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:

Search Tools: