Search Results - (( rainfall distribution model algorithm ) OR ( peer evaluation step algorithm ))

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    Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios by Tayebiyan, Aida

    Published 2015
    “…An ANN was subsequently applied as a rainfall-runoff modelling to predict the future stream flow feeding the reservoir systems. …”
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    Thesis
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    Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat by Yuliant, Sibaroni, Sri Suryani, Prasetiyowati, Iqbal Bahari, Sudrajat

    Published 2020
    “…In this study, the problem of determination dengue disease factors was modeled using a neural network. The activation function in this neural network model then estimated using genetic algorithms. …”
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    Article
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    The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli by Ramli, Suzana

    Published 2015
    “…Flooding is a natural disaster that often occurs in Malaysia due to its heavy rainfall distribution. Lately, the exceptional amount of rainfall worsens the flood situation. …”
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    Rain models for the prediction of fade duration at millimeter wavelengths by Othman, Mohd. Afzan

    Published 2006
    “…Another factor of interest, not currently covered by ITU-R recommendations is the distribution of the durations of rain fades. Hence this project involved an extensive review on the available models describing annual rain fade distributions on line-of-sight links. …”
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    Comparison of future intensity duration frequency curve by considering the impact of climate change: case study for Kuching city by Kuok, Kelvin K.K, Mah, D.Y.S., Imteaz, M.A, Kueh, S.M

    Published 2016
    “…Therefore, there is an initiative in this study to derive future IDF curve by considering the future rainfall using ‘delta’ approach. The annual maximum precipitations for 2020s, 2050s and 2080s are generated using Statistical Downscaling Model (SDSM), neural network (NN) with scale conjugate gradient and Cuckoo search optimization algorithms. …”
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    Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques by Googhari, Shahram Karimi

    Published 2007
    “…The model was trained based on the Leven-berg Marquardt algorithm with sigmoid activation functions. …”
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