Individual differences |
Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |
A recurrent neural network is a neural network where the connections between the units form a directed cycle. Recurrent neural networks must be approached differently from feedforward neural networks, both when analysing their behavior and training them. Recurrent neural networks can also behave chaotically. Usually, dynamical systems theory is used to model and analyse them.
- Abdi, H. "A neural network primer. Journal of Biological Systems, 2, 247-281, (1994)".
- Abdi, H. " (2003). Neural Networks. In M. Lewis-Beck, A. Bryman, T. Futing (Eds): Encyclopedia for research methods for the social sciences. Thousand Oaks (CA): Sage. pp. 792-795.]".
- Abdi, H. " (2001). Linear algebra for neural networks. In N.J. Smelser, P.B. Baltes (Eds.): International Encyclopedia of the Social and Behavioral Sciences. Oxford (UK): Elsevier.]".
- Abdi, H., Valentin, D., Edelman, B.E. (1999). Neural Networks. Thousand Oaks: Sage.
- Mandic, D. & Chambers, J. (2001). Recurrent Neural Networks, Wiley.
|This page uses Creative Commons Licensed content from Wikipedia (view authors).|