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    A coupled artificial neural network and RSM model for the prediction of chip serration frequency in end milling of Inconel 718 by Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Ishtiyaq, M. H.

    Published 2011
    “…Compared to traditional computing methods, the artificial neural networks (ANNs) are robust and global. ANNs have the characteristics of universal approximation, parallel distributed processing, hardware implementation, learning and adaptation, and multivariable systems [11]. …”
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    Book Chapter
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    MLP and Elman recurrent neural network modelling for the TRMS by Toha, Siti Fauziah, Tokhi, M. Osman

    Published 2008
    “…This paper presents a scrutinized investigation on system identification using artificial neural network (ANNs). The main goal for this work is to emphasis the potential benefits of this architecture for real system identification. …”
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    Proceeding Paper
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    A novel RSSI prediction using imperialist competition algorithm (ICA), radial basis function (RBF) and firefly algorithm (FFA) in wireless networks by Goudarzi, Shidrokh, Hassan, Wan Haslina, Hassan Abdalla Hashim, Aisha, Soleymani, Seyed Ahmad, Anisi, Mohammad Hossein, Zakaria, Omar M.

    Published 2016
    “…The achieved results indicate that the IRBF–FFA model provides more precise predictions compared to different ANNs, namely, support vector machines (SVMs) and multilayer perceptron (MLP). …”
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    Article