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Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks.

, , and . IEEE Trans. Fuzzy Syst., 6 (1): 76-89 (1998)

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Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape., and . Neural Comput., 13 (8): 1683-1711 (2001)Fuzzy Knowledge and Recurrent Neural Networks: A Dynamical Systems Perspective., , and . Hybrid Neural Systems, volume 1778 of Lecture Notes in Computer Science, page 123-143. Springer, (1998)Characterizing the Distribution of Completion Shapes with Corners Using a Mixture of Random Processes., and . EMMCVPR, volume 1223 of Lecture Notes in Computer Science, page 19-34. Springer, (1997)Representation of fuzzy finite state automata in continuous recurrent, neural networks., , and . ICNN, page 1023-1027. IEEE, (1996)Analogic: Inference beyond logic.. Knowl. Based Syst., 9 (8): 483-489 (1996)Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks., , and . IEEE Trans. Fuzzy Syst., 6 (1): 76-89 (1998)A key to fuzzy-logic inference.. Int. J. Approx. Reason., 8 (2): 105-121 (1993)Segmentation of Multiple Salient Closed Contours from Real Images., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 25 (4): 433-444 (2003)Computing Stochastic Completion Fields in Linear-Time Using a Resolution Pyramid., , and . CAIP, volume 1296 of Lecture Notes in Computer Science, page 353-360. Springer, (1997)A Comparison of Measures for Detecting Natural Shapes in Cluttered Backgrounds., and . ECCV (2), volume 1407 of Lecture Notes in Computer Science, page 432-448. Springer, (1998)