Learning a class of large finite state machines with a recurrent neural network
- 1 January 1995
- journal article
- Published by Elsevier in Neural Networks
- Vol. 8 (9) , 1359-1365
- https://doi.org/10.1016/0893-6080(95)00041-0
Abstract
No abstract availableThis publication has 16 references indexed in Scilit:
- Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solutionIEEE Transactions on Neural Networks, 1995
- Learning and Extracting Finite State Automata with Second-Order Recurrent Neural NetworksNeural Computation, 1992
- Local Feedback Multilayered NetworksNeural Computation, 1992
- Properties of neural networks with applications to modelling non-linear dynamical systemsInternational Journal of Control, 1992
- FIR and IIR Synapses, a New Neural Network Architecture for Time Series ModelingNeural Computation, 1991
- Discovering the Structure of a Reactive Environment by ExplorationNeural Computation, 1990
- Finding Structure in TimeCognitive Science, 1990
- Identification and control of dynamical systems using neural networksIEEE Transactions on Neural Networks, 1990
- Finite State Automata and Simple Recurrent NetworksNeural Computation, 1989
- On the complexity of minimum inference of regular setsInformation and Control, 1978