Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
This paper deals with the application of a well-known neural network technique, multi-layer back-propagation (BP) neural network, in financial data mining. A modified neural networ...
In this paper, we propose a vector quantization (VQ) -based information hiding scheme that cluster the VQ codeowrds according the codewords' relation on Voronoi Diagram (VD). ...
This paper describes the design and implementation of an embedded-type XML storage and retrieval system which is built on top of relational databases. The proposed system stores ea...
This paper proposes a multiple dependent (or deferred) state sampling plan by variables for the inspection of normally distributed quality characteristics. The decision upon the a...