Showing 141 - 160 results of 442 for search '((shine OR ((hinge OR chinges) OR hing)) OR ((spenggl OR (ann OR pingao)) OR ling))', query time: 0.07s Refine Results
  1. 141

    A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

    Published 2023
    “…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
    Get full text
    Article
  2. 142

    Analysis of municipal wastewater treatment plant performance using artificial neural network approach by Husain, Iman, Jami, Mohammed Saedi, Kabashi, Nassereldin, Abdullah, Nurhafizah

    Published 2011
    “…Artificial neural network (ANN) was used in this research as a statistical modeling tool for predicting the performance of wastewater treatment plant. …”
    Get full text
    Proceeding Paper
  3. 143
  4. 144

    A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro, Non-members, Non-members

    Published 2023
    “…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
    Get full text
    Article
  5. 145

    Artificial neural network and its Islamic relevance by Ahmad Kamaruddin, Saadi, Ahmed Shogar, Ibrahim Adam

    Published 2011
    “…The method used was analytical outlook to comprehend ANN in an Islamic approach.…”
    Get full text
    Article
  6. 146
  7. 147

    Development of artificial nueral network model for the analysis of wastewater treatment by Jami, Mohammed Saedi, Kabbashi, Nassereldeen Ahmed

    Published 2012
    “…A statistical modeling tool called artificial neural network (ANN) is used in this work to predict the performance of wastewater treatment plant (WWTP). …”
    Get full text
    Get full text
    Monograph
  8. 148

    Modelling and optimization of process parameters for silver nanoparticles synthesis: A comparison between response surface methodology and artificial neural network by Chowdhury, Silvia, Yusof, Faridah, Sulaiman, Nadzril, Faruck, Mohammad Omer, Sidek , Shahrul Naim

    Published 2016
    “…In recent decades, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) have become the most used method for empirical modelling and optimization of process parameters in Chemical Engineering. …”
    Get full text
    Proceeding Paper
  9. 149
  10. 150
  11. 151

    State-of-the-art application of artificial neural networks in digital watermarking and the way forward by Olanrewaju, Rashidah Funke, Abdurazzaq, Aburas Ali, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha

    Published 2009
    “…The ability of Artificial Neural Network, ANN to learn, do mapping, classify, and adapt has increased the interest of researcher in application of different types ANN in watermarking. …”
    Get full text
    Get full text
    Proceeding Paper
  12. 152

    Computational intelligence: application in digital watermarking by Olanweraju, Rashidah Funke, Khalifa, Othman Omran

    Published 2012
    “…Mathematical model of ANN in relation to digital watermarking is indentified, elucidated and simplified. …”
    Get full text
    Proceeding Paper
  13. 153

    Artificial neural network for modeling coagulant dosing for water treatment plants by Olanrewaju, Rashidah Funke, Muyibi, Suleyman Aremu, Salawudeen, T. Olalekan, Aibinu, Abiodun Musa

    Published 2011
    “…The correlation between actual and ANN estimation of coagulant dosing model is 0.97 of 1.00. …”
    Get full text
    Proceeding Paper
  14. 154
  15. 155
  16. 156

    Classification of water quality using artificial neural network by Sulaiman, Khadijah

    Published 2020
    “…The ANN produced highly accurate water quality classification. …”
    Get full text
    Get full text
    Get full text
    Thesis
  17. 157

    A hybrid technique for dinar coin price prediction using artificial neural network based autogressive modeling technique by Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Ameer Amsa, Mohamad Ghazali

    Published 2011
    “…The input data is formatted to meet the input data requirement of the ANN-based AR model. The formatted data are then fed to the ANN-based AR model for parameters estimation. …”
    Get full text
    Proceeding Paper
  18. 158

    Predictive model and near infrared spectroscopy in predicting the diesel fuel properties by Gamal Al-kaf, Hasan Ali

    Published 2018
    “…NIR spectroscopy shows an enormous potential for quantitative analysis of complex samples by coupling with artificial neural networks (ANNs). Although a single layer ANN shows promising in the establishing better relationship between a component of interest and NIR spectrum, a different algorithm for updating weight that has been proved to improve the performance of the multilayer could further reveal the potential of single linear layer ANN in NIR spectroscopic analysis. …”
    Get full text
    Get full text
    Thesis
  19. 159

    Harmonic elimination by switching angle optimization technique for multilevel inverter by Altayib Sahhouk, Masoud Albasheer

    Published 2019
    “…The simulation results with using the PI controller and ANN controller to reduce THDs have been compared and discussed. …”
    Get full text
    Get full text
    Get full text
    Thesis
  20. 160

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

    Published 2014
    “…Learning an Artificial Neural Network (ANN) is an optimization task since it is desirable to find optimal weight sets of an ANN in the training process. …”
    Get full text
    Get full text
    Thesis