Nonlinear dynamic system identification using Legendre neural network

By Jagdish Chandra Patra, Cédric Bornand. 2010

55 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mechanics, Control and Systems Engineering

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 Computational Mechanics

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

In Control and Systems Engineering

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): “…(Mishra et al., 2009; Jiang et al., 2012; Li et al., 2012), using Laguerre polynomial (Chandra et al., 2009) and using Legendre orthogonal polynomial (Nanda et al., 2011; George and Panda, 2012; Rodriguez, 2009; Das and Satapathy, 2011; Patra and Bornand, 2010) has been discussed in the literature.”