A GA-based flexible learning algorithm with error tolerance for digital binary neural networks

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 1476-1480

  Kabeya, Shutaro ^a   Abe, Tohru ^a   Saito, Toshimichi ^a  

^a HOSEI UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM EFFICIENCY; BINARY NEURAL NETWORKS; ERROR TOLERANCE; HIDDEN NEURONS; NUMERICAL EXPERIMENTS; SPATIOTEMPORAL PATTERNS;

APPROXIMATION ALGORITHMS; BOOLEAN FUNCTIONS; CELLULAR AUTOMATA; LEARNING SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS;

LEARNING ALGORITHMS;

EID: 70449378465     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178979     Document Type: Conference Paper

References (14)

1. J. H. Kim and S. K. Park, "The geometrical learning of binary neural networks, " IEEE Trans. Neural Networks, 6, 1, pp. 237-247, 1995.
2. S. Gazula and M. R. Kabuka, "Design of supervised classifiers using Boolean neural networks, " IEEE Trans. 17, 12, pp. 1239-1246, 1995.
3. T. Abe and T. Saito, "An Approach to Prediction of Spatio-Temporal Patterns based on Binary Neural Networks and Cellular Automata, " Proc. of IJCNN, pp. 2495-2500, 2008.
4. N. Cristianini and J. Shawe-Taylor, "An Introduction to Support Vector Machines, " Cambridge University Press, 2000.
5. S. Wolfram, "Universality and Complexity in Cellular Automata, " Physica D, 10, pp. 1-35, 1984.
6. L. O. Chua, S. Yoon and R. Dogaru, "A nonlinear dynamics perspective of Wolfram's new kind of science, Part I: Threshold of complexity, " Int. J. Bifurcation and Chaos, 12, pp. 2655-2766, 2002.
7. L. Bull, I. Lawson, A. Adamatzky and B. DeLacyCostello, "Towards predicting spatial complexity: a learning classifier system approach to cellular automata identification, " Proc. of CEC, pp. 136-141, 2005.
8. X-A. Wang and S. B. Wicker, "An artificial neural net Viterbi decoder, " IEEE Trans. Commun., 44, 2, pp. 165-171, 1996.
9. M. Seredynski and P. Bouvry, "Block Cipher based on Reversible Cellular Automata, " Proc. of CEC, pp. 2138-2143, 2004.
10. M. Wada, J. Kuroiwa and S. Nara, "Errorless reproduction of given pattern dynamics by means of cellular automata, " Phys. Rev. E 68, 036707, pp. 1-8, 2003.
11. Y. Xia, H. Leung and H. Chan, "A prediction fusion method for reconstructing spatial temporal dynamics using support vector machines, " IEEE Trans. Circuits Systs. II, 53, 1, pp. 62-66, 2006.
12. M. Shimada and T. Saito, "A GA-based learning algorithm for binary neural networks, " IEICE Trans. Fundamentals, E85-A, pp. 2544-2546, 2002.
13. T. Yamamichi, T. Saito and H. Torikai, "Genetic learning of digital three-layer perceptrons for implementation of binary cellular automata, " Proc. of WCCI, pp. 10309-10314, 2006.
14. R. Gil-Pita and X. Yao, "Using a Genetic Algorithm for Editing k-Nearest Neighbor Classifiers, " Proc. of IDEAL, Lecture Notes in Computer Science, Vol. 4881, pp. 1141-1150, 2007.