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Volumn 14, Issue 4-5, 2001, Pages 551-573

Life-long learning Cell Structures - Continuously learning without catastrophic interference

Author keywords

Catastrophic interference; Cell Structures; Continuously learning; Incremental learning; Life long learning; Radial Basis Function; Stability Plasticity Dilemma

Indexed keywords

CELLS; COMPUTER SIMULATION; INTERFACES (MATERIALS);

EID: 0035008798     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(01)00018-1     Document Type: Article
Times cited : (95)

References (58)
  • 4
    • 0000621802 scopus 로고
    • Multivariable functional interpolation and adaptive networks
    • Broomhead D.S., Lowe D. Multivariable functional interpolation and adaptive networks. Complex Systems. 2:1988;321-355.
    • (1988) Complex Systems , vol.2 , pp. 321-355
    • Broomhead, D.S.1    Lowe, D.2
  • 5
    • 0001311791 scopus 로고
    • Dynamic cell structure learns perfectly topology preserving map
    • Bruske J., Sommer G. Dynamic cell structure learns perfectly topology preserving map. Neural Computation. 7:1995;845-865.
    • (1995) Neural Computation , vol.7 , pp. 845-865
    • Bruske, J.1    Sommer, G.2
  • 7
    • 0343472951 scopus 로고    scopus 로고
    • Dynamische Zellstrukturen
    • PhD Thesis, Technische Fakultät der Christian Albrechts-Universität zu Kiel
    • Bruske, J. (1998). Dynamische Zellstrukturen. Theorie und Anwendung eines KNN-Modells. PhD Thesis, Technische Fakultät der Christian Albrechts-Universität zu Kiel.
    • (1998) Theorie und Anwendung Eines KNN-Modells
    • Bruske, J.1
  • 8
    • 0031272154 scopus 로고    scopus 로고
    • An integrated architecture for learning of reactive behaviors based on dynamic cell structures
    • Bruske J., Ahrns L., Sommer G. An integrated architecture for learning of reactive behaviors based on dynamic cell structures. Robotics and Autonomous Systems. 22:1998;87-102.
    • (1998) Robotics and Autonomous Systems , vol.22 , pp. 87-102
    • Bruske, J.1    Ahrns, L.2    Sommer, G.3
  • 9
    • 84973857317 scopus 로고
    • ART2: Self-organisation of stable category recognition codes for analog input patterns
    • Carpenter G.A., Grossberg S. ART2: Self-organisation of stable category recognition codes for analog input patterns. Applied Optics. 26:1987;4919-4930.
    • (1987) Applied Optics , vol.26 , pp. 4919-4930
    • Carpenter, G.A.1    Grossberg, S.2
  • 10
    • 0025889915 scopus 로고
    • ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
    • Carpenter G.A., Grossberg S., Reynolds J.H. ARTMAP: supervised real-time learning and classification of nonstationary data by a self-organizing neural network. Neural Networks. 4:1991;543-564.
    • (1991) Neural Networks , vol.4 , pp. 543-564
    • Carpenter, G.A.1    Grossberg, S.2    Reynolds, J.H.3
  • 12
    • 0028753578 scopus 로고
    • Generating-shrinking algorithm for learning arbitrary classification
    • Chen Y.Q., Thomas D.W., Nixon M.S. Generating-shrinking algorithm for learning arbitrary classification. Neural Networks. 7:1994;1477-1489.
    • (1994) Neural Networks , vol.7 , pp. 1477-1489
    • Chen, Y.Q.1    Thomas, D.W.2    Nixon, M.S.3
  • 14
    • 0000155950 scopus 로고
    • The cascade-correlation learning architecture
    • Los Altos, CA: Morgan Kaufmann Publishers
    • Fahlman, S. E. & Lebiere, C. (1990). The cascade-correlation learning architecture. In Advances in neural information processing systems 2 (pp. 524-532). Los Altos, CA: Morgan Kaufmann Publishers.
    • (1990) In Advances in Neural Information Processing Systems , vol.2 , pp. 524-532
    • Fahlman, S.E.1    Lebiere, C.2
  • 15
    • 0000689846 scopus 로고    scopus 로고
    • On-line learning in radial basis function networks
    • Freeman J.A.S., Saad D. On-line learning in radial basis function networks. Neural Computation. 9:1997;1601-1622.
    • (1997) Neural Computation , vol.9 , pp. 1601-1622
    • Freeman, J.A.S.1    Saad, D.2
  • 16
    • 0032923221 scopus 로고    scopus 로고
    • Catastrophic forgetting in connectionist networks
    • French R.M. Catastrophic forgetting in connectionist networks. Trends in Cognitive Sciences. 3:1999;128-135.
    • (1999) Trends in Cognitive Sciences , vol.3 , pp. 128-135
    • French, R.M.1
  • 18
    • 0028748949 scopus 로고
    • Growing cell structures - A self-organizing network for unsupervised and supervised learning
    • Fritzke B. Growing cell structures - a self-organizing network for unsupervised and supervised learning. Neural Networks. 7:1994;1441-1460.
    • (1994) Neural Networks , vol.7 , pp. 1441-1460
    • Fritzke, B.1
  • 23
    • 0017120827 scopus 로고
    • Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors
    • Grossberg S. Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors. Biological Cybernetics. 23:1976;121-134.
    • (1976) Biological Cybernetics , vol.23 , pp. 121-134
    • Grossberg, S.1
  • 24
    • 40649128119 scopus 로고
    • Nonlinear neural networks: Principles, mechanisms, and architectures
    • Grossberg S. Nonlinear neural networks: principles, mechanisms, and architectures. Neural Networks. 1:1988;17-61.
    • (1988) Neural Networks , vol.1 , pp. 17-61
    • Grossberg, S.1
  • 25
    • 0029889237 scopus 로고    scopus 로고
    • The hippocampus and cerebellum in adaptively timed learning, recognition and movement
    • Grossberg S., Merrill J.W.L. The hippocampus and cerebellum in adaptively timed learning, recognition and movement. Journal of Cognitive Neuroscience. 8:1996;257-277.
    • (1996) Journal of Cognitive Neuroscience , vol.8 , pp. 257-277
    • Grossberg, S.1    Merrill, J.W.L.2
  • 26
    • 0343037100 scopus 로고    scopus 로고
    • Task-based representation in lifelong learning incremental neural networks
    • In VDI Fortschrittberichte, Reihe 8, Nr. 663, Ilmenau
    • Hamker, F. H. & Gross, H.-M. (1997). Task-based representation in lifelong learning incremental neural networks. In VDI Fortschrittberichte, Reihe 8, Nr. 663, Workshop SOAVE'97, Ilmenau (pp. 99-108).
    • (1997) Workshop SOAVE'97 , pp. 99-108
    • Hamker, F.H.1    Gross, H.-M.2
  • 31
    • 0032207166 scopus 로고    scopus 로고
    • Comparing neural networks: A benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP
    • Heinke D., Hamker F.H. Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP. IEEE Transactions on Neural Networks. 9:1998;1279-1291.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , pp. 1279-1291
    • Heinke, D.1    Hamker, F.H.2
  • 32
    • 77956898593 scopus 로고
    • On-line learning processes in artificial neural networks
    • Amsterdam: Elsevier Science Publishers
    • Heskes, T. M. & Kappen, B. (1993). On-line learning processes in artificial neural networks. In Mathematical foundations of neural networks (pp. 199-233). Amsterdam: Elsevier Science Publishers.
    • (1993) In Mathematical Foundations of Neural Networks , pp. 199-233
    • Heskes, T.M.1    Kappen, B.2
  • 34
    • 0031270611 scopus 로고    scopus 로고
    • Growing radial basis neural networks: Merging supervised and unsupervised learning with network growth techniques
    • Karayiannis N.B., Mi G.W. Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques. IEEE Transactions on Neural Networks. 8:1997;1492-1506.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , pp. 1492-1506
    • Karayiannis, N.B.1    Mi, G.W.2
  • 35
    • 0032690356 scopus 로고    scopus 로고
    • Reformulated radial basis neural networks trained by gradient descent
    • Karayiannis N.B. Reformulated radial basis neural networks trained by gradient descent. IEEE Transactions on Neural Networks. 10:1999;657-671.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , pp. 657-671
    • Karayiannis, N.B.1
  • 36
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • Kohonen T. Self-organized formation of topologically correct feature maps. Biological Cybernetics. 43:1982;59-69.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 37
    • 0031194555 scopus 로고    scopus 로고
    • An incremental adaptive network for on-line supervised learning and probability estimation
    • Lim C.P., Harrison R.F. An incremental adaptive network for on-line supervised learning and probability estimation. Neural Networks. 10:1997;925-939.
    • (1997) Neural Networks , vol.10 , pp. 925-939
    • Lim, C.P.1    Harrison, R.F.2
  • 38
    • 0000742931 scopus 로고
    • A 'neural gas' network learns topologies
    • Amsterdam: North Holland
    • Martinetz, T. M. & Schulten, K. J. (1991). A 'neural gas' network learns topologies. In Artificial neural networks (vol. I, pp. 397-402). Amsterdam: North Holland.
    • (1991) In Artificial Neural Networks , vol.1 , pp. 397-402
    • Martinetz, T.M.1    Schulten, K.J.2
  • 40
    • 0027632248 scopus 로고
    • Neural-gas network for vector quantization and its application to time-series prediction
    • Martinetz T.M., Berkovich S., Schulten K.J. Neural-gas network for vector quantization and its application to time-series prediction. IEEE Transactions on Neural Networks. 4:1993;558-569.
    • (1993) IEEE Transactions on Neural Networks , vol.4 , pp. 558-569
    • Martinetz, T.M.1    Berkovich, S.2    Schulten, K.J.3
  • 41
    • 0029340352 scopus 로고
    • Why there are complementary learning systems in the hippocampus and neocortex: Insights from the success and failures of connectionist models of learning and memory
    • McClelland J., McNaughton B., O'Reilly R. Why there are complementary learning systems in the hippocampus and neocortex: insights from the success and failures of connectionist models of learning and memory. Psychological Review. 102:1995;419-457.
    • (1995) Psychological Review , vol.102 , pp. 419-457
    • McClelland, J.1    McNaughton, B.2    O'Reilly, R.3
  • 42
    • 77957064197 scopus 로고
    • Catastrophic interference in connectionist networks: The sequential learning problem
    • Bower G.H. New York: Academic Press
    • McCloskey M., Cohen N. Catastrophic interference in connectionist networks: the sequential learning problem. Bower G.H. The psychology of learning and motivation. vol. 24:1989;109-164 Academic Press, New York.
    • (1989) The Psychology of Learning and Motivation , vol.24 , pp. 109-164
    • McCloskey, M.1    Cohen, N.2
  • 45
    • 0029777583 scopus 로고    scopus 로고
    • On-line training of recurrent neural networks with continuous topology adaptation
    • Obradovic D. On-line training of recurrent neural networks with continuous topology adaptation. IEEE Transactions on Neural Networks. 7:1996;222-228.
    • (1996) IEEE Transactions on Neural Networks , vol.7 , pp. 222-228
    • Obradovic, D.1
  • 46
    • 0001002401 scopus 로고
    • Universal approximation using radial-basis-function networks
    • Park J., Sandberg I.W. Universal approximation using radial-basis-function networks. Neural Computation. 5:1993;305-316.
    • (1993) Neural Computation , vol.5 , pp. 305-316
    • Park, J.1    Sandberg, I.W.2
  • 47
    • 0001071040 scopus 로고
    • A resource-allocating network for function interpolation
    • Platt J. A resource-allocating network for function interpolation. Neural Computation. 3:1991;213-225.
    • (1991) Neural Computation , vol.3 , pp. 213-225
    • Platt, J.1
  • 48
    • 0025056697 scopus 로고
    • Regularization algorithms for learning that are equivalent to multilayer networks
    • Poggio T., Girosi F. Regularization algorithms for learning that are equivalent to multilayer networks. Science. 247:1990;978-982.
    • (1990) Science , vol.247 , pp. 978-982
    • Poggio, T.1    Girosi, F.2
  • 49
    • 0004042460 scopus 로고
    • Technical Report 21/94, Fakultät für Informatik, Universität Karlsruhe, (anonymous FTP: on
    • Prechelt, L. (1994). PROBEN1 a set of neural network benchmark problems and benchmarking rules, Technical Report 21/94, Fakultät für Informatik, Universität Karlsruhe, (anonymous FTP: on ftp.ira.uka.de/pub/uni-karlsruhe/papers/techreports/1994/1994-21.ps.gz).
    • (1994) PROBEN1 a Set of Neural Network Benchmark Problems and Benchmarking Rules
    • Prechelt, L.1
  • 50
    • 0025407225 scopus 로고
    • Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions
    • Ratcliff R. Connectionist models of recognition memory: constraints imposed by learning and forgetting functions. Psychological Review. 97:1990;285-308.
    • (1990) Psychological Review , vol.97 , pp. 285-308
    • Ratcliff, R.1
  • 51
    • 0000016172 scopus 로고
    • A stochastic approximation model
    • Robbins H., Monro S. A stochastic approximation model. Annual Math. Stat. 22:1951;400-407.
    • (1951) Annual Math. Stat. , vol.22 , pp. 400-407
    • Robbins, H.1    Monro, S.2
  • 52
    • 0031276993 scopus 로고    scopus 로고
    • A neural-network learning theory and a polynomial time RBF algorithm
    • Roy A., Govil S., Miranda R. A neural-network learning theory and a polynomial time RBF algorithm. IEEE Transactions on Neural Networks. 8:1997;1301-1313.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , pp. 1301-1313
    • Roy, A.1    Govil, S.2    Miranda, R.3
  • 53
  • 54
    • 0001101724 scopus 로고
    • A dynamic neural network architecture by sequential partitioning of the input space
    • Shadafan R.S., Niranjan M. A dynamic neural network architecture by sequential partitioning of the input space. Neural Computation. 6:1994;1202-1223.
    • (1994) Neural Computation , vol.6 , pp. 1202-1223
    • Shadafan, R.S.1    Niranjan, M.2
  • 56
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht D.F. Probabilistic neural networks. Neural Networks. 3:1990;109-118.
    • (1990) Neural Networks , vol.3 , pp. 109-118
    • Specht, D.F.1
  • 57
    • 0028208116 scopus 로고
    • Evolving space-filling curves to distribute radial basis functions over an input space
    • Whitehead B.A., Choate T.D. Evolving space-filling curves to distribute radial basis functions over an input space. IEEE Transactions on Neural Networks. 5:1994;15-23.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 15-23
    • Whitehead, B.A.1    Choate, T.D.2
  • 58
    • 0032022388 scopus 로고    scopus 로고
    • Performance evaluation of a sequential minimal Radial Basis Function (RBF) neural network learning algorithm
    • Yingwei L., Sundararajan N., Saratchandran P. Performance evaluation of a sequential minimal Radial Basis Function (RBF) neural network learning algorithm. IEEE Transactions on Neural Networks. 9:1998;308-318.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , pp. 308-318
    • Yingwei, L.1    Sundararajan, N.2    Saratchandran, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.