Search Results - multilayer perceptron computer simulation

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  1. 1
    Activation functions performance in multilayer perceptron for time series forecasting

    Activation functions performance in multilayer perceptron for time series forecasting by Nur Haizum, Abd Rahman, Yin, Chin Hui, Hani Syahida, Zulkafli

    Published 2024
    “…This study aims to evaluate the performance of three activation functions, Sigmoid, Hyperbolic Tangent (Tanh), and Rectified Linear Unit (ReLU) in the hidden layer of Multilayer Perceptron (MLP) for time series forecasting. …”
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  2. 2
    Forward modeling of seabed logging with controlled source electromagnetic method using multilayer perceptron

    Forward modeling of seabed logging with controlled source electromagnetic method using multilayer perceptron by Arif, Agus, Asirvadam, Vijanth S., Karsiti, M. N.

    Published 2010
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  3. 3
    Improvement of Neural Network performance by data selection using Radial Basis Function and Hybrid Multilayered Perceptron network / Ahmad Puad Ismail, Nazirah Mohamat Kasim and Saiful Zaimy Yahaya

    Improvement of Neural Network performance by data selection using Radial Basis Function and Hybrid Multilayered Perceptron network / Ahmad Puad Ismail, Nazirah Mohamat Kasim and S... by Ismail, Ahmad Puad, Mohamat Kasim, Nazirah, Yahaya, Saiful Zaimy

    Published 2008
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  4. 4
    Classification of heart sounds using wavelets and neural networks

    Classification of heart sounds using wavelets and neural networks by Hadi, H. M., Mohd Yusoff, Mashor, Mohamed, M. S., Tat, K. B.

    Published 2009
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  5. 5
    Modeling Of A Planar Sofc Performance Using Artificial Nueral Network

    Modeling Of A Planar Sofc Performance Using Artificial Nueral Network by Zambri, Nor Aira, Salim, Norhafiz, Mohd Nordin, Ili Najaa Aimi, Mohamed, Azah

    Published 2019
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  6. 6
    An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction

    An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction by Shah, Habib

    Published 2014
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  7. 7
    A Lightweight Perceptron-Based Intrusion Detection System for Fog Computing

    A Lightweight Perceptron-Based Intrusion Detection System for Fog Computing by Khater, Belal Sudqi, Wahab, Ainuddin Wahid Abdul, Idris, Mohd Yamani Idna, Hussain, Mohammed Abdulla, Ibrahim, Ashraf Ahmed

    Published 2019
    “…Fog computing is a paradigm that extends cloud computing and services to the edge of the network in order to address the inherent problems of the cloud, such as latency and lack of mobility support and location-awareness. …”
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  8. 8
    Neuro-adaptive vibration suppression of flexible beam structures

    Neuro-adaptive vibration suppression of flexible beam structures by Mohd. Hashim, Siti Zaiton, Tokhi, Mohd. Osman

    Published 2004
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  9. 9
    Enhanced conjugate gradient methods for training MLP-networks

    Enhanced conjugate gradient methods for training MLP-networks by Izzeldin, H., Asirvadam , Vijanth Sagayan, Saad , Nordin

    Published 2010
    “…The paper investigates the enhancement in various conjugate gradient training algorithms applied to a multilayer perceptron (MLP) neural network architecture. …”
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  10. 10
    Evaluation of optimal MLP structure for heart disease diagnosis / Salbiah Ab Hamid

    Evaluation of optimal MLP structure for heart disease diagnosis / Salbiah Ab Hamid by Ab Hamid, Salbiah

    Published 2010
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  11. 11
    Improving generalization of neural networks using MLP discriminant based on multiple classifiers failures

    Improving generalization of neural networks using MLP discriminant based on multiple classifiers failures by Siraj, Fadzilah, Sheik Osman, Wan Rozaini

    Published 2010
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  12. 12
    RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW)

    RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW) by Ahmed A.N., Noor C.W.M., Allawi M.F., El-Shafie A.

    Published 2023
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  13. 13
    Neural Networks Classification Performance for Medical Dataset

    Neural Networks Classification Performance for Medical Dataset by Norsarini, Salim

    Published 2005
    “…Neural networks (NN), with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques. Multilayer Perceptron (MLP), Support Vector Machine (SVM) and Radial Basis Function (RBF) are classification techniques in neural networks that were used to train historical medical data. …”
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  14. 14
    A lightweight host-based intrusion detection system using N-gram and perceptron model for internet of things / Belal Sudqi Abed Saleh Khater

    A lightweight host-based intrusion detection system using N-gram and perceptron model for internet of things / Belal Sudqi Abed Saleh Khater by Belal Sudqi Abed , Saleh Khater

    Published 2021
    “…In this thesis, a HIDS using Modified Vector Space Representation (MVSR) N-gram and Multilayer Perceptron (MLP) model for securing Internet of Things (IoT) devices were proposed. …”
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  15. 15
    Bacteria identification via Artificial Neural Network based-on Bergey’s manual

    Bacteria identification via Artificial Neural Network based-on Bergey’s manual by Ruhaimi, Amirul Hafiiz

    Published 2017
    “…Levenberg Marquardt algorithm based Feed-forward backpropagation with Multilayer perceptron type of ANN was used in the training and learning sessions of the ANN development in order to obtain high accuracy simulation results within short period of time.…”
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  16. 16
    Cloud computing-based security analysis on wireless sensor nodes cluster using predictive technique

    Cloud computing-based security analysis on wireless sensor nodes cluster using predictive technique by Ahmed, Muhammed Zaharadeen, Hassan Abdalla Hashim, Aisha, Khalifa, Othman Omran, Wakil, Aliyu Muhammad, Ahmed, Zeinab E., Ouahada, Khmaies

    Published 2025
    “…It integrates machine learning models— Multilayer Perceptron (MLP), Decision Tree, and Autoencoder—to precisely classify and mitigate various impacts of cyber intrusions on a cluster of wireless sensors. …”
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  17. 17
    Performance of Levenberg-Marquardt neural network algorithm in power quality disturbances classification / Adibah I’zzah Mohamad Kasim

    Performance of Levenberg-Marquardt neural network algorithm in power quality disturbances classification / Adibah I’zzah Mohamad Kasim by Mohamad Kasim, Adibah I’zzah

    Published 2025
    “…The classification process incorporated Root Mean Square (RMS) analysis for feature extraction and multilayer perceptron (MLP) neural networks for pattern recognition. …”
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  18. 18
    Application of artificial neural network in bacteria identification based on Bergey’s manual: Hydrogenophilaceae family: article

    Application of artificial neural network in bacteria identification based on Bergey’s manual: Hydrogenophilaceae family: article by Ruhaimi, Amirul Hafiiz, Ahmad, Normadyzah, Husin, Hazlina, Mohamad Pauzi, Syazana

    Published 2017
    “…Levenberg Marquardt algorithm based Feedforward backpropagation with Multilayer perceptrons type of ANN was used in the training and learning sessions of the ANN development in order to obtain high accuracy simulation results. within short period time.…”
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  19. 19
    Artificial neural network approach to network reconfiguration for loss minimization in distribution networks

    Artificial neural network approach to network reconfiguration for loss minimization in distribution networks by Kashem, M.A., Jasmon, G.B., Mohamed, A., Moghavvemi, M.

    Published 1998
    “…Training-sets for the ANN are generated by varying the constant P-Q load models and carrying out the off-line network reconfiguration simulations. The developed ANN model is based on the multilayer perceptron network and training is done by the back propagation algorithm. …”
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  20. 20
    Accelerating learning performance of back propagation algorithm by using adaptive gain together with adaptive momentum and adaptive learning rate on classification problems

    Accelerating learning performance of back propagation algorithm by using adaptive gain together with adaptive momentum and adaptive learning rate on classification problems by Abdul Hamid, Norhamreeza, Mohd Nawi, Nazri, Ghazali, Rozaida, Mohd Salleh, Mohd Najib

    Published 2011
    “…The back propagation (BP) algorithm is a very popular learning approach in feedforward multilayer perceptron networks. However, the most serious problem associated with the BP is local minima problem and slow convergence speeds. …”
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