Forecasting stock market indices using hybrid network

By S. Chakravarty, P. Dash. 2009

20 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Pradipta Kishore Dash
2. Ranjeeta Bisoi
3. Ajit Kumar Rout
4. Rajashree Dash

In Management Science and Operations Research

1. Pradipta Kishore Dash
2. Ranjeeta Bisoi
3. Ajit Kumar Rout
4. Rajashree Dash

In Signal Processing

1. Pradipta Kishore Dash
2. Ranjeeta Bisoi
3. Ajit Kumar Rout
4. Rajashree Dash

Citations in the corpus

• Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach (2015, background): “Trigono-metric FLANN (TRFLANN) is a single layer neural network in which the original input pattern in a lower dimensional space is expanded to a higher dimensional space using orthogonal trigonometric functions (Chakravarty and Dash, 2009; Dehuri et al., 2012; Mili and Hamdi, 2012).”