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Subject: search.filters.subject.Artificial neural networks (ANN)

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    Evaluation of wind energy production using weibull distribution and artificial neural networks
    (2018-08-13)
    Wannakam, Khanittha
    ;
    Jiriwibhakorn, Somchat
    Wind turbine power generation planning requires production estimation. Wind power is uncertain depending on the location, wind speed and wind turbine efficiency. This paper presents a method for evaluating wind energy production using Weibull distribution and Artificial neural networks to compare the data recorded by Promthep Alternative Energy Station, Phuket, Thailand. The results show that wind energy estimation using artificial neural networks produces the most accurate results. Mean Absolute Percentage Error is used to determine the minimum error value. Minimal error of training data is 2.524% and the test data is 3.3041%.
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    The development of Artificial Neural Networks (ANN) for falls detection
    (2017-06-07)
    Yodpijit, Nantakrit
    ;
    Sittiwanchai, Teppakorn
    ;
    Jongprasithporn, Manutchanok
    This paper presents the new design and development of a wearable-based fall detection system using an Accelerometer and Gyroscope as motion sensors for detecting body orientation and movement. The Threshold Based and Artificial Neural Networks (ANN) algorithm were developed to differentiate between Activities of Daily Living (ADL). Results indicated the possibility of using the new threshold-based method with ANN algorithm to reduce the number of false positive (false alarm) outcomes and improve the accuracy of fall detection system.