Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach
- 1 December 1995
- journal article
- Published by Elsevier in Knowledge-Based Systems
- Vol. 8 (6) , 313-332
- https://doi.org/10.1016/0950-7051(96)81916-2
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Learning long-term dependencies with gradient descent is difficultIEEE Transactions on Neural Networks, 1994
- On the problem of local minima in recurrent neural networksIEEE Transactions on Neural Networks, 1994
- Combining symbolic and neural learningMachine Learning, 1994
- Extraction, Insertion and Refinement of Symbolic Rules in Dynamically Driven Recurrent Neural NetworksConnection Science, 1993
- Learning and Extracting Finite State Automata with Second-Order Recurrent Neural NetworksNeural Computation, 1992
- Neural Networks and the Bias/Variance DilemmaNeural Computation, 1992
- On the problem of local minima in backpropagationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Including Hints in Training Neural NetsNeural Computation, 1991
- Learning from hints in neural networksJournal of Complexity, 1990
- What Size Net Gives Valid Generalization?Neural Computation, 1989