Query: pi-tat Ion: -t-Glles ♦Chen
Giles, C.L., Sun, G.Z., Chen, H.H., Lee, Y.C., Chen, D., (1990) "Higher Order Recurrent Networks 12 and Grammatical Inference," Advances in Neural Information Processing Systems 2, D.S. Touretzky
(ed), Morgan Kaufmann, San Mateo, CA, (1990), p. 380. (Details^
Gfles, CX., Miller, C3., Chen, D., Chen, H.H., Sun, G.ZL, & Lee, Y.C. (1992). Learning and 10 extracting finite state automata with second-order recurrent networks. Neural Computation, 2,
C. Giles, C. Miller, D. Chen, G. Sun, H. Chen, and Y. Lee, "Extracting and learning an unknown 9 grammar with recurrent neural networks," in Advances in Neural Information Processing Systems 4 (J.
Moody, S. Hanson, and R. Lippmann, eds.), San Mateo (Details')
T. Maxwell, C. L. Giles, Y. C. Lee, and H. H. Chen. Transformation invariance using high order 2 correlations in neural net architectures. In Proceedings of the IEEE international conference on
systems, man, and cybernetics, pages 627—632, October (Details')
M. Goudrcau, C. Giles, S. Chakradhar, and D. Chen, "First-order vs. second-order single layer 2 recurrent neural networks," IEEE Transactions on Neural Networks, voL 5, no. 3, pp. 511-513,1994.
Y. C. Lee, G. Doolen, H. Chen, G. Sun, T. Maxwell, H. Lee, and C. L. Giles. Machine Learning Using 1 a Higher Order Correlation Network. Physica D: Nonlinear Phenomena, vol. 22, pp. 276-306,1986.
ISSN: 0167-2789 (Details)
36 citations found Figure 2.