Using genetic algorithms to select architecture of a feedforward artificial neural network

By Jasmina Arifovic, Ramazan Gencay. 2001

161 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

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. Bruce A. Bassett
2. Ajith Abraham
3. Václav Snásel
4. Emmanuel Dufourq
5. Varun Ojha
6. Enrique Alba
7. Andrés Camero
8. Sebastian Risi

In Management Science and Operations Research

1. Ajith Abraham
2. Václav Snásel
3. Varun Ojha

Citations in the corpus

• Metaheuristic design of feedforward neural networks: A review of two decades of research (2017, background): “It was found that the simultaneous optimization of both weight and architecture lead to a better generalization [56, 197, 264, 265].”
• EDEN: Evolutionary deep networks for efficient machine learning (2017, background): “[8], [9], [10], beginning with a study that evolved the weights of the neural network [3].”
• Forecasting Exchange Rates: A Robust Regression Approach (2007, background): “11 See e.g. Arifovic and Gencay (2001), and Nag and Mitra (2002).”