Perceptron learning revisited: The sonar targets problem

Neural Processing Letters

Volumn 10, Issue 1, 1999, Pages 17-24

  Hasenjäger, Martina ^a   Ritter, Helge ^a  

^a BIELEFELD UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATA STRUCTURES; LEARNING SYSTEMS; PROBLEM SOLVING; SONAR;

DELTA RULE; PERCEPTRON LEARNING RULES; SONAR TARGETS;

NEURAL NETWORKS;

EID: 0344672556     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1018654611986     Document Type: Article

References (13)

1. Bouten, M., Schietse, J. and Van den Broeck, C.: Gradient descent learning in perceptrons: A review of its possibilities, Physical Review E 52 (1995), 1958-1967.
2. CMU Neural Networks Benchmark Collection, Sonar, mines vs. rocks, available from ftp://ftp.cs.cmu/afs/cs/project/connect/bench/, 1988.
3. Cortes, C. and Vapnik, V.: Support-vector networks, Machine Learning 20 (1995), 273-297.
4. Fahlman, S. E.: Faster learning variations on backpropagation: An empirical study, In: D. Touretzky, G. Hinton and T. Sejnowski (eds), Proc. of the 1988 Connectionist Summer School, Morgan Kaufmann, San Mateo, CA, 1989, pp. 38-51.
5. Gorman, R. P. and Sejnowski, T. J.: Analysis of hidden units in a layered network trained to classify sonar targets, Neural Networks 1 (1988), 75-89.
6. Minsky, M. and Papert, S.: Perceptrons, MIT Press, Cambridge, Mass., 1988.
7. Riedmiller, M. and Braun, H.: A direct adaptive method for faster backpropagation learning: the RPROP algorithm, In: Proc. of the IEEE International Conference on Neural Networks, IEEE, Piscataway, NJ, 1993, pp. 586-591.
8. Rosenblatt, F.: The perceptron: A probabilistic model for information storage and organization in the brain, Psychological Review 65 (1958), 386-408.
9. Ruján, P.: Playing billiards in version space, Neural Computation 9 (1997), 99-122.
10. Solla, S. A., Levin, E. and Fleisher, M.: Accelerated learning in layered neural networks, Complex Systems 2 (1988), 625-640.
11. Torres Moreno, J. M. and Gordon, M. B.: Characterization of the sonar signals benchmark, Neural Processing Letters 7 (1998), 1-4.
12. Watkin, T. L. H.: Optimal learning with a neural network, Europhysics Letters 21 (1993), 871-876.
13. Widrow, B. and Lehr, M. A.: 30 years of adaptive neural networks: Perceptron, madaline and backpropagation, Proc. IEEE 78 (1990), 1415-1442.