Showing 401 - 408 results of 408 for search '((shine OR ((hinge OR (chinges OR chingess)) OR hing)) OR ((spenggl OR (ann OR pingao)) OR ping))', query time: 0.06s Refine Results
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  4. 404

    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
  5. 405

    Rainfall forecasting models using focused time-delay neural networks by Htike, Kyaw Kyaw, Khalifa, Othman Omran

    Published 2010
    “…Artificial Neural Networks (ANNs) have recently become very popular and they are one of the most widely used forecasting models that have enjoyed fruitful applications for forecasting purposes in many domains of engineering and computer science. …”
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    Proceeding Paper
  6. 406

    Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength by Hussain Talpur, Kashif

    Published 2015
    “…Fuzzy Neural Networks (FNNs) with the integration of fuzzy logic, neural networks and optimization techniques have not only solved the issue of “black box” in Artificial Neural Networks (ANNs) but also have been effective in a wide variety of real-world applications. …”
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    Thesis
  7. 407

    What’s information got to go with it? (editorial) by Bossaller, Jenny

    Published 2011
    “…We participated in a workshop led by John Vincent and Anne Harding, and visited several other libraries that had won CILIP‘s Libraries Change Lives Award. …”
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    Article
  8. 408

    An improved data classification framework based on fractional particle swarm optimization by Sherwani, Fahad

    Published 2019
    “…Furthermore, the proposed MOFPSO algorithm is hybridized with Back-Propagation (BP), Elman Recurrent Neural Networks (RNN) and Levenberg-Marquardt (LM) Artificial Neural Networks (ANNs) to propose an enhanced data classification framework, especially for data classification applications. …”
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    Thesis