Optimising memory usage in n-tuple neural networks

Mathematics and Computers in Simulation

Volumn 40, Issue 5-6 SPEC. ISS., 1996, Pages 549-563

  Mitchell, R J ^a   Bishop, J M ^a   Minchinton, P R ^a  

^a UNIVERSITY OF READING   (United Kingdom)

Author keywords

Neural networks; Pattern recognition

Indexed keywords

COMPUTER HARDWARE; DATA STORAGE EQUIPMENT; DISCRIMINATORS; OBJECT RECOGNITION; OPTIMIZATION; PATTERN RECOGNITION; RANDOM ACCESS STORAGE; REAL TIME SYSTEMS;

MEMORY USAGE; MULTILAYER PERCEPTORS; N TUPLE NEURAL NETWORKS; REAL TIME PATTERN RECOGNITION; WEIGHTLESS NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 0030142759     PISSN: 03784754     EISSN: None     Source Type: Journal    
DOI: 10.1016/0378-4754(95)00006-2     Document Type: Article

References (21)

1. I. Aleksander and T.J. Stonham, A guide to pattern recognition using random access memories, IEE Proc. E, Comput. Digital Tech. 2(1) (1979) 29-40.
2. I. Aleksander and H. Morton, An Introduction to Neural Computing (Chapman & Hall, London, 1990).
3. D.E. Rumelhart and J.L. McClelland, Parallel Distributed Computing, Vol. 1 (MIT Press, Cambridge, MA, 1986).
4. T. Kohonen, Self Organisation and Associative Memory (Springer, Berlin, 1984).
5. J.J. Hopfield, Neural networks and physical system with emergent collective properties, Proc. Nat. Acad. Sci. USA 79 (1982) 2554-2558.
6. G.E. Hinton, T.J. Sejnowski and D.H. Ackley, Boltzmann machines: Constraint satisfaction networks that learn, Technical Report No. CMU-CS-84-119, 1984.
7. I. Aleksander, ed., Neural Computing Architectures (North Oxford Academic Publishers, 1989).
8. D. Aitken, J.M. Bishop, R.J. Mitchell and S.E. Pepper, Pattern separation using digital learning nests, Electron Lett. 25(11) (1989) 685-686.
9. I. Aleksander and R.C. Albrow, Micro-circuit learning nets: Some tests with handwritten numerals, Electron. Lett. 4(19) (1968) 406-407.
10. T.J. Stonham and I. Aleksander, Automatic classification of mass spectra by means of digital learning nets, Electron. Lett. 9(17) (1973) 391-394.
11. J.M. Bishop, Anarchic techniques for pattern classification, Ph.D. Thesis, Reading University, 1989.
12. D.E. Goldberg, Genetic Algorithms (Addison-Wesley, Reading, MA, 1989).
13. J.M. Bishop, A.A. Crowe, P.R. Minchinton and R.J. Mitchell, IEE Colloq. on Machine Learning, Digest 1990/117, 1990.
14. J.M. Bishop, P.R. Minchinton and R.J. Mitchell, Multiclass pattern association using digital n-tuple networks, Proc. INNC-90-Paris (1990) p. 926.
15. J.M. Bishop, P.R. Minchinton and R.J. Mitchell, Auto-associative digital neural network for grey level data, Proc. ICANN 92 (1992) pp. 639-642-8.
16. I. Aleksander, W.V. Thomas and P.A. Bowden, WISARD, a radical step forward in image recognition, Sensor Rev. 4 (1984).
17. R.J. Mitchell, P.R. Minchinton, J.P. Brooker and J.M. Bishop, A modular weightless neural network system, Proc. ICANN 92, Artificial Neural Networks 2 (1992) 635-638.
18. R.J. Mitchell, P.R. Minchinton, J.M. Bishop, J.W. Day, J.F. Hawker and S.K. Box, Modular hardware weightless neural networks, Proc. Weightless Neural Networks Workshop '93 (1993) pp. 123-128.
19. R. Rohwer and A.Y. Lamb, An exploration of the effect of super large n-tuples on single layer ramnets, Proc. Weightless Neural Networks Workshop '93 (1993) pp. 33-37.
20. R. Patel and R. O'Hagan, DNA finger print matching, Neural Network Project Report, Department of Cybernetics, 1993.
21. J.M. Bishop, P.R. Minchinton and R.J. Mitchell, ORTHANC An n-tuple network development environment, Proc. INNC-90-Paris (1990) pp. 685-688.