Showing 81 - 100 results of 299 for search '((shine OR (((hiange OR hinges) OR chinges) OR hing)) OR ((spinggl OR (ann OR pingao)) OR ping))', query time: 0.09s Refine Results
  1. 81

    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. …”
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    Proceeding Paper
  2. 82
  3. 83

    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. …”
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    Article
  4. 84

    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.…”
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    Article
  5. 85

    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. …”
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    Proceeding Paper
  6. 86
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  8. 88

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

    Published 2020
    “…The ANN produced highly accurate water quality classification. …”
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    Thesis
  9. 89

    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. …”
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    Proceeding Paper
  10. 90

    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. …”
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    Thesis
  11. 91

    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. …”
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    Thesis
  12. 92

    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. …”
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    Thesis
  13. 93
  14. 94

    Prediction of sedimentation and bank erosion due to the construction of Kahang Dam by Nda, Muhammad

    Published 2020
    “…This research used the Artificial Neural Network (ANN) and ANN with Autoregressive (AR) (NNETAR) in predicting suspended sediment concentration using sediment concentration, discharge and water level as inputs. …”
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    Thesis
  15. 95
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  17. 97

    Developing a hybrid hidden MARKOV model using fusion of ARMA model and artificial neural network for crude oil price forecasting by Isah, Nuhu

    Published 2020
    “…In view of this drawbacks of these three models (ANN, ARMA and HMM), we developed an efficient Hybrid Hidden Markov Model using fusion of ARMA Model and Artificial Neural Network for crude oil price forecasting, MATLAB was employed to develop the four models (Hybrid HMM, HMM, ARMA and ANN). …”
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    Thesis
  18. 98

    Intelligent solar panel monitoring system and shading detection using artificial neural networks by M. Abdallah, Fahad Saleh, Abdullah, M.N., Musirin, Ismail, M. Elshamy, Ahmed

    Published 2023
    “…This paper proposes a novel monitoring system that uses Artificial Neural Network (ANN) technology to detect shading and other faults in PV panels. …”
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    Article
  19. 99
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