Search Results - (( evolution equation using algorithm ) OR ( program implementation learning algorithm ))

Search alternatives:

Refine Results
  1. 1
    Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)

    Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse) by Jia, Xing Yeoh, Chuii, Khim Chong, Mohd Saberi, Mohamad, Yee, Wen Choon, Lian, En Chai, Safaai, Deris, Zuwairie, Ibrahim

    Published 2015
    “…Global optimisation method includes differential evolution algorithm, which will be used in this research. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Optimal HE-PWM inverter switching patterns using differential evolution algorithm

    Optimal HE-PWM inverter switching patterns using differential evolution algorithm by Muhammad Ikram, Mohd Rashid, Hiendro, Ayong, Anwari, Makbul

    Published 2012
    “…Reformulated equations for two-level schemes are proposed to satisfy the DE algorithm. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  3. 3
    Evolution of transformer health index in the form of mathematical equation

    Evolution of transformer health index in the form of mathematical equation by Azmi, Akma, Jasni, Jasronita, Azis, Norhafiz, Ab Kadir, Mohd Zainal Abidin

    Published 2017
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Differential evolution algorithm for linear frequency modulation radar signal denoising

    Differential evolution algorithm for linear frequency modulation radar signal denoising by Al-Dabbagh, Mohanad Dawood Hasan, Raja Abdullah, Raja Syamsul Azmir, Al-Dabbagh, Rawaa Dawoud Hassan, Hashim, Fazirulhisyam

    Published 2013
    “…This paper looks at the feasibility of using the differential evolution algorithm to estimate the linear frequency modulation received signal parameters for radar signal denoising. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  5. 5
    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof

    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Virtual reality in algorithm programming course: practicality and implications for college students

    Virtual reality in algorithm programming course: practicality and implications for college students by Dewi, Ika Parma, Ambiyar, Mursyida, Lativa, Effendi, Hansi, Giatman, Muhammad, Efrizon, Hanafi, Hafizul Fahri, Ali, Siti Khadijah

    Published 2024
    “…The analysis of learning problems shows the unavailability of interactive learning media that can support various learning styles of students in programming algorithm materials. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    HEPWM using differential evolution technique for three phase voltage source inverter

    HEPWM using differential evolution technique for three phase voltage source inverter by Azziddin, Mohamad Razali, Kamisman, Norazelina, Mat Lazi, Jurifa, Bahari, Norhazilina

    Published 2016
    “…The DE is a simple and efficient evolutionary algorithm in solving the HEPWM transcendental equation. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Simulation of undular bores evolution with damping

    Simulation of undular bores evolution with damping by Tiong, W.K., Tay, K.G., Ong, C.T., Chiew, K.L.

    Published 2017
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
    Conference paper
    Save to List
    Saved in:
  10. 10
    Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method

    Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method by Mohd Arfian, Ismail, Mezhuyev, Vitaliy, Safaai, Deris, Mohd Saberi, Mohamad, Shahreen, Kasim, Saedudin, Rd Rohmat

    Published 2017
    “…Due to that, this study proposed and improved a method that comprises with Newton method, differential evolution algorithm (DE) and competitive co-evolutionary algorithm(ComCA). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    A new domain specific scripting language for automated machine learning pipeline

    A new domain specific scripting language for automated machine learning pipeline by Masrom, S., Rahman, A.S.A., Omar, N., Baharun, N.

    Published 2019
    “…However, in respond to the implementation difficulty, there exists a limited software tool that support easy implementation for automated machine learning based on Genetic Programming. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Rapid software framework for the implementation of machine learning classification models

    Rapid software framework for the implementation of machine learning classification models by Rahman, A.S.A., Masrom, S., Rahman, R.A., Ibrahim, R.

    Published 2021
    “…However, to implement a complete machine learning model involves some technical hurdles such as the steep learning curve, the abundance of the programming skills, the complexities of hyper-parameters, and the lack of user friendly platform to be used for the implementation. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Simulation of undular bores evolution with damping

    Simulation of undular bores evolution with damping by Tiong, W.K., Tay, K.G., Ong, C.T., Chiew, Kangleng

    Published 2017
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    A study on channel and delay-based scheduling algorithms for live video streaming in the fifth generation long term evolution-advanced

    A study on channel and delay-based scheduling algorithms for live video streaming in the fifth generation long term evolution-advanced by Abdul Latiff, Liza, Mohd Ramli, Huda Adibah, Asnawi, Ani Liza, Abdul Wahab, Nur Haliza

    Published 2022
    “…These algorithms were developed for use in the legacy wireless networks and minor changes were made to enable these algorithms to perform packet scheduling in the downlink 5G LTE-A. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Selective Harmonics Elimination PWM (SHEPWM)Using Differential Evolution Approach

    Selective Harmonics Elimination PWM (SHEPWM)Using Differential Evolution Approach by Bahari, Norhazilina

    Published 2010
    “…This paper proposes the application of Differential Evolution (DE) algorithm to the selective harmonics elimination pulse-width modulation (SHE-PWM) scheme. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  16. 16
    POISSON EQUATION FOR ELECTROSTATIC FIELD USING THE FINITE DIFFERENCE METHOD

    POISSON EQUATION FOR ELECTROSTATIC FIELD USING THE FINITE DIFFERENCE METHOD by IFFAH FATHANAH, AHMAD RAZALI

    Published 2019
    “…Elliptic partial differential equation is a boundary value problem which can be thought as the stable of an evolution problem. …”
    Get full text
    Get full text
    Final Year Project Report / IMRAD
    Save to List
    Saved in:
  17. 17
    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms

    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

    Published 2008
    “…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network

    Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network by Kang, Miew How

    Published 2016
    “…First proposed algorithm is the combination of momentum algorithm with adaptive learning rate (ALR) algorithm, and second proposed algorithm is the combination of momentum algorithm with automatic learning rate selection (ALRS) algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Case Slicing Technique for Feature Selection

    Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

    Published 2004
    “…The classification accuracy obtained from the CST method is compared to other selected classification methods such as Value Difference Metric (VDM), Pre-Category Feature Importance (PCF), Cross-Category Feature Importance (CCF), Instance-Based Algorithm (IB4), Decision Tree Algorithms such as Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5), Rough Set methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) and Neural Network methods such as the Multilayer method.…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf

    An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf by Yusuf, Yusmardiah

    Published 2017
    “…The metric equation of the EXP-BET algorithm is modelled and simulated using the MATLAB Simulink environment and System Generator tool provided by Xilinx. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: