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The Comparison and Combination of Genetic and Gradient Descent Learning in Recurrent Neural Networks: An Application to Speech Phoneme Classification., and . Artificial Intelligence and Pattern Recognition, page 286-293. ISRST, (2007)Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues., and . Artificial Intelligence in Medicine, 28 (2): 121-140 (2003)Knowledge-Based Neural Networks for Modelling Time Series., and . IWANN (2), volume 2085 of Lecture Notes in Computer Science, page 579-586. Springer, (2001)Refining Hidden Markov Models with Recurrent Neural Networks., and . IJCNN (2), page 271-278. IEEE Computer Society, (2000)0-7695-0619-4.What Inductive Bias Gives Good Neural Network Training Performance?, and . IJCNN (3), page 445-450. IEEE Computer Society, (2000)0-7695-0619-4.Training Second-Order Recurrent Neural Networks using Hints., and . ML, page 361-366. Morgan Kaufmann, (1992)Facial Action Unit Recognition Using Recurrent Neural Networks., , and . IPCV, page 357-361. CSREA Press, (2009)Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants., and . Neural Computation, 8 (4): 675-696 (1996)Extraction of rules from discrete-time recurrent neural networks., and . Neural Networks, 9 (1): 41-52 (1996)Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks., , and . IEEE Trans. Fuzzy Systems, 6 (1): 76-89 (1998)