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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...
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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 ...
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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...