Search Results - (( java pattern classification algorithm ) OR ( using coconut optimization algorithm ))

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  1. 1

    Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization by Lee, Jesee Kar Ming

    Published 2022
    “…The ANN model is further improved using GA and PSO. Each algorithm has its own parameters and is further optimized using RSM. …”
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    Thesis
  2. 2

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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  3. 3

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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  4. 4

    Modeling of a natural lipstick formulation using an artificial neural network by Abd. Gani, Siti Salwa, Hashim, Puziah, Mohd Mokhtar, Nor Fadzillah, Basri, Mahiran, Masoumi, Hamid Reza Fard, Lane, Majella E., Kamairudin, Norsuhaili

    Published 2015
    “…It was found that batch back-propagation (BBP) gave the optimal algorithm and topology with a configuration of five inputs, two hidden nodes and one output node; the most important parameter was the carnauba wax content with a relative importance of 24.5%.…”
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    Article
  5. 5

    Multivariate Time Series Forecasting Of Crude Palm Oil Price Using Machine Learning Techniques by Hashim, Ummi Rabaah, Kanchymalay, kasturi, Salim, Naomie, Sukprasert, Anupong, Krishnan, Ramesh

    Published 2017
    “…Experiments were conducted using multi-layer perception, support vector regression and Holt Winter exponential smoothing techniques.The results were assessed by using criteria of root mean square error (RMSE),means absolute error (MAE),means absolute percentage error (MAPE) and Direction of accuracy (DA).Among these three techniques, support vector regression(SVR) with Sequential minimal optimization (SMO) algorithm showed relatively better results compared to multi-layer perceptron and Holt Winters exponential smoothing method. …”
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