2D spiral pattern recognition with possibilistic measures

Author:

Singh Sameer

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference15 articles.

1. Neural Networks for Pattern Recognition;Bishop,1995

2. Solving the two-spiral problem through input data encoding;Chua;Electronics Letters,1995

3. Fahlman, S.E., 1988. Faster-learning variations on back-propagation: An empirical study. In: Proc. 1988 Connectionist Models Summer School. Morgan Kaufmann, Los Altos, CA.

4. The Cascade-Correlation learning architecture;Fahlman,1990

5. Jia, J., Chua, H., 1995. Solving two-spiral problem through input data representation. In: Proc. IEEE Internal Conf. Neural Networks, Vol. 1, pp. 132–135.

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