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  1. 1
    Improved voting technique for ensemble of MLP system applied on various classification data / Saodah Omar, Iza Sazanita Isa and Junita Mohd Saleh.

    Improved voting technique for ensemble of MLP system applied on various classification data / Saodah Omar, Iza Sazanita Isa and Junita Mohd Saleh. by Omar, Saodah, Isa, Iza Sazanita, Mohd Saleh, Junita

    Published 2010
    “…The MLP networks are trained using two types of learning algorithm, which are the Levenberg Marquardt and the Resilient Back Propagation algorithms. …”
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  2. 2
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  3. 3
    The development of an automated pattern recognition based on neural network / Irni Hamiza Hamzah, Mohammad Nizam Ibrahim and Linda Mohd Kasim

    The development of an automated pattern recognition based on neural network / Irni Hamiza Hamzah, Mohammad Nizam Ibrahim and Linda Mohd Kasim by Hamzah, Irni Hamiza, Ibrahim, Mohammad Nizam, Mohd Kasim, Linda

    Published 2006
    “…MATLAB Version 7.0.4 Release 14 has been used as a programming language to build the system. …”
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  4. 4
    Optimization of Multilayer Perceptron (MLP) network training algorithms for agrwood oil quality separation / Noratikah Zawani Mahabob ... [et al.]

    Optimization of Multilayer Perceptron (MLP) network training algorithms for agrwood oil quality separation / Noratikah Zawani Mahabob ... [et al.] by Mahabob, Noratikah Zawani, Mohd Yusoff, Zakiah, Ismail, Nurlaila, Taib, Mohd Nasir

    Published 2020
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  5. 5
    Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm

    Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm by Banadkooki F.B., Ehteram M., Ahmed A.N., Teo F.Y., Fai C.M., Afan H.A., Sapitang M., El-Shafie A.

    Published 2023
    “…The radial basis function (RBF) neural network�whale algorithm (WA) model, the multilayer perception (MLP�WA) model, and genetic programming (GP) were used to predict GWL. …”
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  6. 6
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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  7. 7
    Continuation power flow for voltage stability assessment / Mohd Zamri Laton

    Continuation power flow for voltage stability assessment / Mohd Zamri Laton by Laton, Mohd Zamri

    Published 2006
    “…The continuation power flow program is developed using MATLAB programming language base on algorithm of continuation power flow (CPF) technique, which can compute efficiently the parameter at saddle node bifurcation point. …”
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  8. 8
    Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu

    Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu by Pala, Tuba, Camurcu, Ali Yilmaz

    Published 2014
    “…Multilayer Perceptron algorithm has been the best algorithm with the highest success percentage in both of the programs; Decision Trees has been the algorithm which has the lowest success percentage again in both of the programs. …”
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  9. 9
    Improve in speed and the convergence in training process for the purpose of system modeling using Hybrid Multilayer Perceptron (HMLP) neural network / Farida Karman

    Improve in speed and the convergence in training process for the purpose of system modeling using Hybrid Multilayer Perceptron (HMLP) neural network / Farida Karman by Karman, Farida

    Published 2008
    “…The analysis of the performance of the HMLP network has proven that it is suitable to be used in system modeling. The network strategy employed will result in fast speed of convergence rate if compared to the Multilayer Perceptron (MLP) network, but low speed in program running time because of the HMLP structure is more complex than MLP network. …”
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  10. 10
    Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)

    Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC) by Abdul Hamid, Mohd Hakim, Abu, Nur Azman, Mohamad, Siti Nurul Mahfuzah, Idris, Aris, Zakaria, Zahriladha, Sulaiman, Zuraidah

    Published 2019
    “…Satisfiable Integer Programming (SIP) has been used to quantify dataset in Rough Classification Modeling (RCM). …”
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  11. 11
    Particle swarm optimization for neural network learning enhancement

    Particle swarm optimization for neural network learning enhancement by Abdull Hamed, Haza Nuzly

    Published 2006
    “…Backpropagation (BP) algorithm is widely used to solve many real world problems by using the concept of Multilayer Perceptron (MLP). …”
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  12. 12
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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  13. 13
    Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network

    Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network by Hariharan, Muthusamy, Dr., Sindhu, R, Sazali, Yaacob, Prof. Dr.

    Published 2012
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  14. 14
    Load flow study comparison between Newton Raphson load flow method and fast decouple load flow method / Mohd Haizilan Alias

    Load flow study comparison between Newton Raphson load flow method and fast decouple load flow method / Mohd Haizilan Alias by Alias, Mohd Haizilan

    Published 2007
    “…The method of power flow program is developed using MATLAB programming language base on algorithm of continuation power flow (CPF) technique, which can compute efficiently the parameter at saddle node bifurcation point. …”
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  15. 15
    Predicting Flow Rate of V-Shape Customm Tank Using Derivative Free Recursive Algorithm

    Predicting Flow Rate of V-Shape Customm Tank Using Derivative Free Recursive Algorithm by Tawfeiig, Huzzaifa, Asirvadam , Vijanth Sagayan, Saad , Nordin

    Published 2011
    “…The obtained results showed that introducing Multilayer Perceptron (MLP) Neural Network architecture improve the prediction significantly where different algorithms, Recursive Kalman Filter (RKF) and Extended Kalman Filter (EKF) have been used simultaneously to estimate fluid height and output flow. …”
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    Citation Index Journal
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  16. 16
    Academic Achievement Prediction Model Using Neural Networks

    Academic Achievement Prediction Model Using Neural Networks by Normaziah, Abdul Rahman

    Published 2002
    “…A neural network technique, using Multi Layer Perceptron (MLP) and back propagation algorithm was employed. …”
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  17. 17
    PREDICTING FLOW RATE AND LEVEL OF CUSTOM TANK USING PARTICLE FILTER

    PREDICTING FLOW RATE AND LEVEL OF CUSTOM TANK USING PARTICLE FILTER by TAWFEIG AHMED IZZELDIN, HUZAIFA

    Published 2009
    “…The obtained results showed that introducing Multilayer Perceptron (MLP) Neural Network architecture improve the prediction significantly where different algorithms, Recursive Kalman Filter (RKF) and Extended Kalman Filter (EKF) have been used simultaneously to estimate fluid height and output flow. …”
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  18. 18
    NN with DTW-FF Coefficients and Pitch Feature for Speaker Recognition

    NN with DTW-FF Coefficients and Pitch Feature for Speaker Recognition by Sudirman, Rubita, Salleh, Sh-Hussain, Salleh, Shaharuddin

    Published 2006
    “…Then the DTW-FF coefficients are retained and later being used as inputs into the MLP neural network training and testing. …”
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  19. 19
    Image Improvement Technique Using Feed Forward Neural Network

    Image Improvement Technique Using Feed Forward Neural Network by Abu Saeeda, Omar Abdulmola

    Published 2004
    “…The program has been implemented using MATLAB version 6.5 as programming language.Finally, unsharp mask filter based neural network with different mask sizes has been investigated. …”
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  20. 20
    Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows

    Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows by Zhang, Shasha, Dong, Qiming, Yasin, Megat Al Imran, Fang, Ng Chwee

    Published 2026
    “…These representations are divided into emotions such as joy, sadness, love, jealousy, conflict, and embarrassment using a Multi-Layer Perceptron (MLP) with softmax activation. …”
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