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Volumn 4, Issue 4, 2000, Pages 214-223

Some new neural network architectures with improved learning schemes

Author keywords

Compensatory architecture; Complex backpropagation; Higher order neurons; Lambda gamma learning algorithm; Self scaling scaled conjugate gradient algorithm; Sigma pi sigma architecture

Indexed keywords

ALGORITHMS; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; BUDGET CONTROL; COMPLEX NETWORKS; CONJUGATE GRADIENT METHOD; ITERATIVE METHODS; LEARNING ALGORITHMS; NEURAL NETWORKS; NEURONS; ORBITS;

EID: 3142593934     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s005000000057     Document Type: Article
Times cited : (21)

References (35)
  • 2
    • 0016556021 scopus 로고
    • A new approach to manipulator control: The cerebellar model controller (CMAC). Trans ASME
    • Albus JS (1975b) A new approach to manipulator control: the cerebellar model controller (CMAC). Trans ASME, J Dynamic Systems, Measurement and control 97: 220-227
    • (1975) J Dynamic Systems, Measurement and control , vol.97 , pp. 220-227
    • Albus, J.S.1
  • 3
    • 0001024110 scopus 로고
    • First and second-order methods for learning: Between steepest descent and Newton's method
    • Battiti R (1992) First and second-order methods for learning: between steepest descent and Newton's method, Neural Computation 2: 141-166
    • (1992) Neural Computation , vol.2 , pp. 141-166
    • Battiti, R.1
  • 4
    • 0000052978 scopus 로고
    • BFGS optimization for faster automated supervised learning
    • Battiti R, Masulli F (1990) BFGS optimization for faster automated supervised learning. In: Int. Neural Network Conf., vol. 2, pp. 757-760
    • (1990) Int. Neural Network Conf , vol.2 , pp. 757-760
    • Battiti, R.1    Masulli, F.2
  • 6
    • 26444565569 scopus 로고
    • Finding structure in time
    • Elman JL (1990) Finding structure in time. Cognitive Science 14: 179-211
    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 8
    • 0003000735 scopus 로고
    • Fast learning variations on backpropagation: An empirical study
    • Touretzky DS, Hinton G, Sejnowski T (eds.) Pittsburg, eds., Morgan Kaufmann, San Mateo, CA 1989
    • Fahlman SE (1988) Fast learning variations on backpropagation: an empirical study. In: Touretzky DS, Hinton G, Sejnowski T (eds.) Proc. Connectionist Models Summer School, Pittsburg, eds., pp. 38-51 Morgan Kaufmann, San Mateo, CA 1989
    • (1988) Proc. Connectionist Models Summer School , pp. 38-51
    • Fahlman, S.E.1
  • 10
    • 0023566098 scopus 로고
    • Kolmogorov's mapping neural network existence theorem
    • (San Diego, 1987), IEEE New York
    • Hecht-Nielsen R (1987b) Kolmogorov's mapping neural network existence theorem. In: Proc IJCNN, (San Diego, 1987), vol. III, pp. 11-14, IEEE New York
    • (1987) Proc IJCNN , vol.3 , pp. 11-14
    • Hecht-Nielsen, R.1
  • 11
    • 0030103224 scopus 로고    scopus 로고
    • Static security assessment of a large-scale power system using genetic-enhanced neural network approaches
    • Huang SJ, Huang SL (1996) Static security assessment of a large-scale power system using genetic-enhanced neural network approaches. In: Proc. Nat. Sci. Council, China, Part A: Physical Sci Eng 20(2): 228-235
    • (1996) Proc. Nat. Sci. Council, China, Part A: Physical Sci Eng , vol.20 , Issue.2 , pp. 228-235
    • Huang, S.J.1    Huang, S.L.2
  • 13
    • 0024137490 scopus 로고
    • Increased rate of learning convergence through learning adaptation
    • Jacobs A (1988) Increased rate of learning convergence through learning adaptation. Neural networks 1: 295-307
    • (1988) Neural networks , vol.1 , pp. 295-307
    • Jacobs, A.1
  • 14
    • 0000293377 scopus 로고
    • Backpropagation learning for multi-layer feedforward neural networks using the conjugate gradient method
    • Johansson EM. Dowla FU, Goodman DM (1991) Backpropagation learning for multi-layer feedforward neural networks using the conjugate gradient method. Int. J. Neural Systems 2(4): 291-302
    • (1991) Int. J. Neural Systems , vol.2 , Issue.4 , pp. 291-302
    • Johansson, E.M.1    Dowla, F.U.2    Goodman, D.M.3
  • 16
    • 0000327054 scopus 로고
    • Computational schemes and neural network models for formation and control of multijoint arm trajectory
    • Miller WT, Sutton R, Werbos P (eds.) Cambridge, MIT Press, MA
    • Kawato M (1990) Computational schemes and neural network models for formation and control of multijoint arm trajectory. In: Miller WT, Sutton R, Werbos P (eds.) Neural networks for Robotics and Control, Cambridge, MIT Press, MA
    • (1990) Neural networks for Robotics and Control
    • Kawato, M.1
  • 18
    • 2342593235 scopus 로고
    • Ph.D. dissertation, Advanced Control Engineering research group, Queen's Univ. Belfast UK
    • Lightbody G (1993) Identification and control using neural networks. Ph.D. dissertation, Advanced Control Engineering research group, Queen's Univ. Belfast UK
    • (1993) Identification and control using neural networks
    • Lightbody, G.1
  • 19
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • Moller MF (1993) A scaled conjugate gradient algorithm for fast supervised learning. Neural networks 6: 525-533
    • (1993) Neural networks , vol.6 , pp. 525-533
    • Moller, M.F.1
  • 20
    • 84940400563 scopus 로고
    • Adaptive control using neural networks
    • Miller WT, Sutton R, Werbos P (eds.) Cambridge, MIT Press, MA
    • Narendra R (1990) Adaptive control using neural networks. In: Miller WT, Sutton R, Werbos P (eds.) Neural Networks for Robotics and Control, Cambridge, MIT Press, MA
    • (1990) Neural Networks for Robotics and Control
    • Narendra, R.1
  • 21
    • 0030402958 scopus 로고    scopus 로고
    • Local basis function networks for identification of a turbocharger
    • Exeter, UK
    • Nelles O, Sinsel S, Isermann R (1996) Local basis function networks for identification of a turbocharger. In: Proc UKACC Int Conf Cont' 96, pp. 7-12. Exeter, UK
    • (1996) Proc UKACC Int Conf Cont' 96 , pp. 7-12
    • Nelles, O.1    Sinsel, S.2    Isermann, R.3
  • 22
    • 0042474292 scopus 로고
    • The truck backer-upper: An example of self learning in neural networks
    • Miller WT, Sutton R, Werbros P (eds.) Cambridge, MIT Press, MA
    • Nguyen D, Widrow B (1990) The truck backer-upper: an example of self learning in neural networks. In: Miller WT, Sutton R, Werbros P (eds.) Neural Networks for Robotics and control, Cambridge, MIT Press, MA
    • (1990) Neural Networks for Robotics and control
    • Nguyen, D.1    Widrow, B.2
  • 23
    • 0031277466 scopus 로고    scopus 로고
    • An extension of the Backpropagation Algorithm to Complex Numbers
    • Nitta T (1997) An extension of the Backpropagation Algorithm to Complex Numbers. Neural Networks 10(4): 1391-1415
    • (1997) Neural Networks , vol.10 , Issue.4 , pp. 1391-1415
    • Nitta, T.1
  • 24
    • 84940386773 scopus 로고
    • Kohonnen T, Mahasara K, Simula O, Kangas J (eds.) Elsevier Science Publication, B.V. (North- Holland)
    • Sato A, Yamada K, Tsoknmo J, Temma T (1991) Artificial Neural Networks. In: Kohonnen T, Mahasara K, Simula O, Kangas J (eds.) Elsevier Science Publication, B.V. (North- Holland)
    • (1991) Artificial Neural Networks
    • Sato, A.1    Yamada, K.2    Tsoknmo, J.3    Temma, T.4
  • 27
    • 0003788577 scopus 로고
    • Spatial and temporal processing in central auditory networks
    • Koch C, Egev L (eds.) MIT Press, Cambridge MA
    • Shamma SA (1989a) Spatial and temporal processing in central auditory networks. In: Koch C, Egev L (eds.) Methods in Neural Modeling, pp. 247-289, MIT Press, Cambridge MA
    • (1989) Methods in Neural Modeling , pp. 247-289
    • Shamma, S.A.1
  • 29
    • 0028292832 scopus 로고
    • Minimization methods for training feedforward neural networks
    • Van Der Smagt P (1994) Minimization methods for training feedforward neural networks. Neural Networks 7(1): 1-11
    • (1994) Neural Networks , vol.7 , Issue.1 , pp. 1-11
    • Van Der Smagt, P.1
  • 31
    • 0023548825 scopus 로고
    • Learning phonetic features using connectionist networks: An experiment in speech recognition
    • Watrous R, Shastri L (1987) Learning phonetic features using connectionist networks: an experiment in speech recognition. In: Proc. 1st IEEE Int. Conf. Neural Networks
    • (1987) Proc. 1st IEEE Int. Conf. Neural Networks
    • Watrous, R.1    Shastri, L.2
  • 32
    • 0029709718 scopus 로고    scopus 로고
    • Design of optimal neurocontrollers for the separately excited dc motor using a hybrid genetic algorithm-neural network approach
    • Watta PB, Hassoun MH, Meisel J (1996) Design of optimal neurocontrollers for the separately excited dc motor using a hybrid genetic algorithm-neural network approach. In: Proc SPIE-Int Soc Opt Eng 2760: 230-240
    • (1996) In: Proc SPIE-Int Soc Opt Eng , vol.2760 , pp. 230-240
    • Watta, P.B.1    Hassoun, M.H.2    Meisel, J.3
  • 35
    • 0027150055 scopus 로고
    • Lambda learning rule for feedforward neural networks
    • San Francisco, California
    • Zurada JM (1992) Lambda learning rule for feedforward neural networks, Proc. of IEEE Int. Conf. on Neural Networks, San Francisco, California
    • (1992) Proc. of IEEE Int. Conf. on Neural Networks
    • Zurada, J.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.