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    Predicting the academic achievement of students using black hole optimization and Gaussian process regression by Yanyu Chen, Xiaolin Yao

    Published 2025-03-01
    “…The method is divided into three stages: data pre-processing, identification of effective indicators using BHO algorithms, and forecasting of academic performance. …”
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    Autism spectrum disorder diagnosis with neural networks by Asude Demir, Seher Arslankaya

    Published 2024-12-01
    “…As a result, it is seen that the perceptron classification algorithm has a very high performance in terms of accuracy, precision, sensitivity and f1 score and successfully discriminates the data.…”
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    METODE KLASIFIKASI JARINGAN SYARAF TIRUAN BACKPROPAGATION PADA MAHASISWA STATISTIKA UNIVERSITAS TERBUKA by Siti Hadijah Hasanah, Sri Maulidia Permatasari

    Published 2020-06-01
    “…Meanwhile, for the classification accuracy, the activation function and the learning rate are used minimum mean square of error (MST) on training data. The simulation results are also applied to the testing data with a cut-off point value of 0.3481, so the accuracy of the ROC curve is obtained in the training data for not active students is 99.43% and 99.14% active, while the testing data for not active students is 94.00%. and active 93.94%. …”
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