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    Chapter and Conference Paper

    Cascaded Adaptive Nonlinear Functional Link Networks for Modeling and Predicting Crude Oil Prices Time Series Data

    Contrast to traditional neural networks functional link neural network (FLNN) is preferred for its single layer structural design, lower computational complexity and higher convergence rate. It achieves high d...

    Sarat Chandra Nayak, Santosh V. Kulukarni, Karthik Jilla in ICCCE 2020 (2021)

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    Chapter and Conference Paper

    ACRRFLN: Artificial Chemical Reaction of Recurrent Functional Link Networks for Improved Stock Market Prediction

    The intrinsic capability of functional link artificial neural network (FLANN) to recognize the complex nonlinear relationship present in the historical stock data made it popular and got wide applications for ...

    Sarat Chandra Nayak, Koppula Vijaya Kumar in Computational Intelligence in Data Mining (2020)

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    Chapter and Conference Paper

    Effect of Indexing on High-Dimensional Databases Using Query Workloads

    High-dimensional indexes do not work because of the often-cited “curse of dimensionality.” However, users are usually interested in querying data over a relatively small subset of the entire attribute set at a...

    S. Rajesh, Karthik Jilla, K. Rajiv in ICT and Critical Infrastructure: Proceedin… (2014)