In this paper, we propose Wavelet packet transform based prediction of trends in nonlinear financial time series data. Bombay stock Exchange (INDIA) was selected as a tool to show the Wavelet packet transform based prediction of trends in financial time series. The experimental results demonstrate that the proposed method substantially outperform existing approaches.
In this paper several characterizations concerning almost strongly Nncθe-continuous functions are obtained. Also we investigate the relationships between almost strongly Nncθe-continuous functions and separation axioms and almost strongly Nnce-closedness of graphs of functions.
We introduce and investigate a new class of functions called almost strongly Nnceθ-continuous functions via Nnce-open sets in Nnc
topological spaces. Also, some equivalent condition of almost strongly Nnceθ-continuous functions are proved.
The aim of this paper we introduce NncZ-irresolute, NncZ-open, NncZ-closed, pre NncZ-open and pre NncZ-closed mappings and investigate properties and characterizations of these new types of mappings.
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