A neural network based time series forecasting system

By B. Kozarzewski. 2010

10 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, methodology): “A system of time series data analysis has been proposed in Kozarzewski (2010) for predicting the future values, based on wavelets preprocessing and neural networks clustering that has been tested as a tool for supporting stock market investment decisions and shows good prediction accuracy of the…”