Search Results - (( initial selection method algorithm ) OR ( using codification system algorithm ))

Refine Results
  1. 1
  2. 2

    Modified Kohonen network algorithm for selection of the initial centres of Gustafson-Kessel algorithm in credit scoring by Sameer, Fadhaa Othman, Abu Bakar, Mohd Rizam

    Published 2017
    “…A good clustering analysis implemented by good Initial Centres of clusters should be selected. To overcome this problem of Gustafson-Kessel (GK) algorithm, we proposed a modified version of Kohonen Network (KN) algorithm to select the initial centres. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

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

    Published 2021
    “…Hence, this study concentrates on an automated model selection procedure for the SURE model by integrating the expectation-maximization (EM) algorithm estimation method, named SURE(EM)-Autometrics. …”
    Get full text
    Get full text
    Monograph
  4. 4

    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
  5. 5

    Fuzzy clustering method and evaluation based on multi criteria decision making technique by Sameer, Fadhaa Othman

    Published 2018
    “…For the third problem a modified of Kohonen Network (MKN) algorithm was proposed to select the initial centres of clusters. …”
    Get full text
    Get full text
    Get full text
    Thesis
  6. 6

    New selection algorithm for Mengubah Destini Anak Bangsa (MDAB) students / Zamali Tarmudi ... [et al.] by Tarmudi, Zamali, Saibin, Tammie Christy, Naharu, Nasrah, Ung, Ling Ling

    Published 2014
    “…This research introduces a new algorithm to select students from low income family the so-called Mengubah Destini Anak Bangsa (MDAB) using fuzzy approach. …”
    Get full text
    Get full text
    Research Reports
  7. 7

    Efficient genetic partitioning-around-medoid algorithm for clustering by Garib, Sarmad Makki Mohammed

    Published 2019
    “…The first set showed the efficiency and performance of the proposed composing techniques including: kmean++ algorithm for initialization, fitness scaling for fitness selection, the proposed split and merge mutation operator, and choosing the medoid instead of the mean as a centroid-selection schema. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Effects of user selected conditions on modeling of dynamic systems using adaptive fuzzy model by Yaacob, Mohd. Shafiek, Jamaluddin, Hishamuddin

    Published 2001
    “…Three methods for choosing the initial parameter of the fuzzy model are considered, namely the on-line, the off-line, and the random initial parameters. …”
    Get full text
    Get full text
    Get full text
    Article
  9. 9
  10. 10
  11. 11

    Determining the preprocessing clustering algorithm in radial basis function neural network by S.L. Ang, H.C. Ong, H.C. Law

    Published 2008
    “…Three types of method used in this study to find the centres include random selections, K-means clustering algorithm and also K-median clustering algorithm. …”
    Get full text
    Get full text
    Article
  12. 12

    Opposition Based Competitive Grey Wolf Optimizer For EMG Feature Selection by Too, Jing Wei, Abdullah, Abdul Rahim

    Published 2020
    “…Four state-of-the-art algorithms include particle swarm optimization, flower pollination algorithm, butterfly optimization algorithm, and CBGWO are used to examine the effectiveness of proposed methods in feature selection. …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm by Noor Azam, Muhammad Harith, Ridzuan, Farida, Mohd Sayuti, M Norazizi Sham

    Published 2023
    “…Therefore, this research proposed a new method for optimising cover audio selection for audio steganography using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II), which falls under the MOEA Pareto dominance paradigm. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Multi-population kidney-inspired algorithm with migration policy selections for feature selection problems by Najmeh Sadat Jaddi, Salwani Abdullah, Say leng goh, Mohd Zakree Ahmad Nazri, Zalinda Othman, Mohammad Kamrul Hasan, Fatemeh Alvankarian

    Published 2025
    “…This study introduces two novel migration policies in multi-population version of kidney-inspired algorithm (KA) to address this dilemma. The initial algorithm, coded as MultiPop-KA, implements a predetermined migration policy. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
    Get full text
    Get full text
    Get full text
    Article
  18. 18

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
    Get full text
    Get full text
    Get full text
    Article
  19. 19

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Pauline Ong, Pauline Ong, Zainuddin, Zarita

    Published 2023
    “…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
    Get full text
    Get full text
    Get full text
    Article