메뉴 건너뛰기




Volumn 14, Issue 4, 1997, Pages 319-344

A pulse-based reinforcement algorithm for learning continuous functions

Author keywords

continuous output reinforcement; pRAM; pulse coding; stochastic computing

Indexed keywords

FUNCTIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; RANDOM ACCESS STORAGE; RANDOM PROCESSES;

EID: 0031579674     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(96)00034-3     Document Type: Article
Times cited : (6)

References (31)
  • 1
    • 0021468626 scopus 로고
    • WISARD: A radical step forward in pattern recognition
    • July
    • [1] I.W. Aleksander, W.V. Thomas and P.A. Bowden, WISARD: A radical step forward in pattern recognition, Sensor Review (July 1984) 120-124.
    • (1984) Sensor Review , pp. 120-124
    • Aleksander, I.W.1    Thomas, W.V.2    Bowden, P.A.3
  • 2
    • 0001803084 scopus 로고
    • The logic of connectionist systems
    • I. Aleksander (ed.), MIT Press, Cambridge MA
    • [2] I. Aleksander, The logic of connectionist systems, in: I. Aleksander (ed.), Neural Computing Architectures (MIT Press, Cambridge MA, 1989) 133-155.
    • (1989) Neural Computing Architectures , pp. 133-155
    • Aleksander, I.1
  • 3
    • 0011198817 scopus 로고
    • An overview of weightless neural nets
    • Washington DC
    • [3] I. Aleksander and H.B. Morton, An overview of weightless neural nets, Proceedings of IJCNN '90 Washington DC Vol. II (1990) 499-502.
    • (1990) Proceedings of IJCNN '90 , vol.2 , pp. 499-502
    • Aleksander, I.1    Morton, H.B.2
  • 4
    • 0027599793 scopus 로고
    • Universal approximation bounds for superpositions of a sigmoidal function
    • [4] A.R. Barton, Universal approximation bounds for superpositions of a sigmoidal function, IEEE Transactions on Information Theory 39 (1993) 930-945.
    • (1993) IEEE Transactions on Information Theory , vol.39 , pp. 930-945
    • Barton, A.R.1
  • 5
    • 0020970738 scopus 로고
    • Neuronlike adaptive elements that can solve difficult learning control problems
    • [5] A.G. Barto, R.S. Sutton and C.W. Anderson, Neuronlike adaptive elements that can solve difficult learning control problems, IEEE Trans. Syst. Man and Cyb. 13 (1983) 834-846.
    • (1983) IEEE Trans. Syst. Man and Cyb. , vol.13 , pp. 834-846
    • Barto, A.G.1    Sutton, R.S.2    Anderson, C.W.3
  • 6
    • 0022213383 scopus 로고
    • Learning by statistical cooperation of self-interested neuron-like computing elements
    • [6] A.G. Barto, Learning by statistical cooperation of self-interested neuron-like computing elements, Human Neurobiol. 4 (1985) 229-256.
    • (1985) Human Neurobiol. , vol.4 , pp. 229-256
    • Barto, A.G.1
  • 7
    • 0026899279 scopus 로고
    • Event-dependent control of noise enhances learning in neural networks
    • [7] R.M. Burton and G.J. Mpitsos, Event-dependent control of noise enhances learning in neural networks, Neural Networks 5 (1992) 627-637.
    • (1992) Neural Networks , vol.5 , pp. 627-637
    • Burton, R.M.1    Mpitsos, G.J.2
  • 9
    • 0011241571 scopus 로고
    • A serial-update VLSI architecture for the learning probabilistic neuron
    • [9] T.G. Clarkson, C.K. Ng, D. Gorse and J.G. Taylor, A serial-update VLSI architecture for the learning probabilistic neuron, Proceedings oflCANN '91 (1991) 1573-1576.
    • (1991) Proceedings oflCANN '91 , pp. 1573-1576
    • Clarkson, T.G.1    Ng, C.K.2    Gorse, D.3    Taylor, J.G.4
  • 14
    • 0024479692 scopus 로고
    • An analysis of noisy RAM and neural nets
    • [14] D. Gorse and J.G. Taylor, An analysis of noisy RAM and neural nets, Physica D-34 (1989) 90-114;
    • (1989) Physica , vol.D34 , pp. 90-114
    • Gorse, D.1    Taylor, J.G.2
  • 15
    • 0001899639 scopus 로고
    • From wetware to hardware: Reverse engineering using probabilistic RAMs
    • [15] T.G. Clarkson, D. Gorse and J.G. Taylor, From wetware to hardware: Reverse engineering using probabilistic RAMs, Journal of Intelligent Systems 2 (1992) 11-30.
    • (1992) Journal of Intelligent Systems , vol.2 , pp. 11-30
    • Clarkson, T.G.1    Gorse, D.2    Taylor, J.G.3
  • 16
    • 0011243539 scopus 로고
    • Universal associative stochastic leanring automata
    • [16] D. Gorse and J.G. Taylor, Universal associative stochastic leanring automata, Neural Network World 1 (1991) 193-202.
    • (1991) Neural Network World , vol.1 , pp. 193-202
    • Gorse, D.1    Taylor, J.G.2
  • 17
    • 25344458368 scopus 로고
    • Learning real-valued functions using a stochastic reinforcement algorithm
    • [17] D. Gorse, J.G. Taylor and T.G. Clarkson, Learning real-valued functions using a stochastic reinforcement algorithm, Proceedings of IJCNN '93 Portland OR Vol. III (1993) 301-304.
    • (1993) Proceedings of IJCNN '93 Portland OR , vol.3 , pp. 301-304
    • Gorse, D.1    Taylor, J.G.2    Clarkson, T.G.3
  • 18
    • 0011198096 scopus 로고
    • A pulse-based reinforcement algorithm for learning continuous functions
    • [18] D. Gorse, J.G. Taylor and T.G. Clarkson, A pulse-based reinforcement algorithm for learning continuous functions, Proceedings of WCNN '94 Vol. II (1994) 73-78.
    • (1994) Proceedings of WCNN '94 , vol.2 , pp. 73-78
    • Gorse, D.1    Taylor, J.G.2    Clarkson, T.G.3
  • 19
    • 0011192859 scopus 로고
    • Analysis of univariate time series with connectionist nets: A case study of two classical examples
    • [19] C. de Groot and D. Wurtz, Analysis of univariate time series with connectionist nets: A case study of two classical examples, Neural Networks for Statistical and Economic Data (1990_.
    • (1990) Neural Networks for Statistical and Economic Data
    • De Groot, C.1    Wurtz, D.2
  • 20
    • 0025600638 scopus 로고
    • A stochastic reinforcement learning algorithm for learning real-valued functions
    • [20] V. Gullapalli, A stochastic reinforcement learning algorithm for learning real-valued functions, Neural Networks 3 (1990) 671-692.
    • (1990) Neural Networks , vol.3 , pp. 671-692
    • Gullapalli, V.1
  • 21
    • 0026745305 scopus 로고
    • Training nets of hardware realizable sigma-pi units
    • [21] K.N. Gurney, Training nets of hardware realizable sigma-pi units, Neural Networks 5 (1992) 289-303.
    • (1992) Neural Networks , vol.5 , pp. 289-303
    • Gurney, K.N.1
  • 22
    • 0000999440 scopus 로고
    • Learning and relearning in Boltzmann machines
    • D.E. Rumelhart and J.L. McClelland (eds.), MIT Press, Cambridge MA
    • [22] G.E. Hinton and T.J. Sejnowski, Learning and relearning in Boltzmann machines, in: D.E. Rumelhart and J.L. McClelland (eds.), Parallel Distributed Processing Vol. 1 (MIT Press, Cambridge MA, 1986) 282-317.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 282-317
    • Hinton, G.E.1    Sejnowski, T.J.2
  • 23
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • [23] K. Hornik, M. Stinchcombe and H. White, Multilayer feedforward networks are universal approximators, Neural Networks 2 (1989) 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 25
    • 0025735983 scopus 로고
    • A more biologically plausible learning rule for neural networks
    • [25] P. Mazzoni, R.A. Andersen and M.I. Jordan, A more biologically plausible learning rule for neural networks, Proc. Nail. Acad. Sci. USA 88 (1991) 4433-4437.
    • (1991) Proc. Nail. Acad. Sci. USA , vol.88 , pp. 4433-4437
    • Mazzoni, P.1    Andersen, R.A.2    Jordan, M.I.3
  • 27
    • 0000714373 scopus 로고
    • A reinforcement connectionist approach to robot path finding in non-maze-like environments
    • [27] J. del R. Millán and C. Torras, A reinforcement connectionist approach to robot path finding in non-maze-like environments, Machine Learning 8 (1992) 363-395.
    • (1992) Machine Learning , vol.8 , pp. 363-395
    • Millán, J.D.R.1    Torras, C.2
  • 28
    • 0026116469 scopus 로고
    • Pulse-stream VLSI neural networks mixing analog and digital techniques
    • [28] A.F. Murray, D. Del Corso and L. Tarassenko, Pulse-stream VLSI neural networks mixing analog and digital techniques, IEEE Trans. on Neural Networks 2 (1991) 193-204.
    • (1991) IEEE Trans. on Neural Networks , vol.2 , pp. 193-204
    • Murray, A.F.1    Del Corso, D.2    Tarassenko, L.3
  • 29
    • 0011240998 scopus 로고
    • On the generalisation ability and storage capacity of logical neural networks
    • [29] W.D. Penny and T.J. Stonham, On the generalisation ability and storage capacity of logical neural networks, Proceedings of IJCNN '92 Baltimore Vol. III (1992) 845-849.
    • (1992) Proceedings of IJCNN '92 Baltimore , vol.3 , pp. 845-849
    • Penny, W.D.1    Stonham, T.J.2
  • 31
    • 0015388888 scopus 로고
    • Spontaneous behaviour in neural networks
    • [31] J.G. Taylor, Spontaneous behaviour in neural networks, J. Theor. Biol. 36 (1972) 513-528.
    • (1972) J. Theor. Biol. , vol.36 , pp. 513-528
    • Taylor, J.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.