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Volumn 103, Issue 1, 2010, Pages 79-85

Analysis and design of asymmetric Hopfield networks with discrete-time dynamics

Author keywords

Asymmetric Hopfield network; Diluted network; Discrete time dynamics

Indexed keywords

ANALYSIS AND DESIGN; DISCRETE TIME DYNAMICS; HOPFIELD NETWORKS; NETWORK DYNAMICS; NUMERICAL SIMULATION; RETRIEVAL PROPERTIES;

EID: 77953609137     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-010-0391-9     Document Type: Article
Times cited : (10)

References (26)
  • 1
    • 0015430813 scopus 로고
    • Characteristics of random nets of analog neuron-like elements
    • 10.1109/TSMC.1972.4309193
    • SI Amari 1972 Characteristics of random nets of analog neuron-like elements IEEE Trans Syst Man Cybern 2 5 643 657 10.1109/TSMC.1972.4309193
    • (1972) IEEE Trans Syst Man Cybern , vol.2 , Issue.5 , pp. 643-657
    • Amari, S.I.1
  • 2
    • 0017392285 scopus 로고
    • Neural theory of association and concept-formation
    • 10.1007/BF00365229 1:STN:280:DyaE1c%2FgtVGjtg%3D%3D 901864
    • SI Amari 1977 Neural theory of association and concept-formation Biol Cybern 26 3 175 185 10.1007/BF00365229 1:STN:280:DyaE1c%2FgtVGjtg%3D%3D 901864
    • (1977) Biol Cybern , vol.26 , Issue.3 , pp. 175-185
    • Amari, S.I.1
  • 3
    • 11744358706 scopus 로고
    • Spin glass models of neural networks
    • 10.1103/PhysRevA.32.1007 9896156
    • DJ Amit H Gutfreund H Sompolinsky 1985 Spin glass models of neural networks Phys Rev A 32 1007 1018 10.1103/PhysRevA.32.1007 9896156
    • (1985) Phys Rev A , vol.32 , pp. 1007-1018
    • Amit, D.J.1    Gutfreund, H.2    Sompolinsky, H.3
  • 4
    • 21344488860 scopus 로고
    • Simulating highly diluted neural networks
    • 10.1088/0305-4470/27/15/016
    • JJ Arenzon N Lemke 1994 Simulating highly diluted neural networks J Phys A: Math Gen 27 5161 5165 10.1088/0305-4470/27/15/016
    • (1994) J Phys A: Math Gen , vol.27 , pp. 5161-5165
    • Arenzon, J.J.1    Lemke, N.2
  • 5
    • 0026711747 scopus 로고
    • General asymmetric neural networks and structure design by genetic algorithms
    • 10.1016/S0893-6080(05)80030-9
    • S Bornholdt D Graudenz 1992 General asymmetric neural networks and structure design by genetic algorithms Neural Netw 5 327 334 10.1016/S0893-6080(05)80030-9
    • (1992) Neural Netw , vol.5 , pp. 327-334
    • Bornholdt, S.1    Graudenz, D.2
  • 6
    • 0035117091 scopus 로고    scopus 로고
    • Stability of asymmetric Hopfield networks
    • DOI 10.1109/72.896806
    • TP Chen SI Amari 2001 Stability of asymmetric hopfield networks IEEE Trans Neural Netw 12 159 163 10.1109/72.896806 1:STN:280: DC%2BD1c%2Fos1yhsQ%3D%3D 18244372 (Pubitemid 32190857)
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.1 , pp. 159-163
    • Chen, T.1    Amari, S.I.2
  • 7
    • 0034170510 scopus 로고    scopus 로고
    • Retrieval properties of a hopfield model with random asymmetric interactions
    • 10.1162/089976600300015628
    • XZ Cheng C Dasgupta MP Singh 2000 Retrieval properties of a hopfield model with random asymmetric interactions Neural Comput 12 865 880 10.1162/089976600300015628
    • (2000) Neural Comput , vol.12 , pp. 865-880
    • Cheng, X.Z.1    Dasgupta, C.2    Singh, M.P.3
  • 9
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • 10.1073/pnas.79.8.2554 1:STN:280:DyaL383it1WktQ%3D%3D 6953413
    • JJ Hopfield 1982 Neural networks and physical systems with emergent collective computational abilities Proc Natl Acad Sci USA 79 2554 2558 10.1073/pnas.79.8.2554 1:STN:280:DyaL383it1WktQ%3D%3D 6953413
    • (1982) Proc Natl Acad Sci USA , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 10
    • 0004469897 scopus 로고
    • Neurons with graded response have collective computational properties like those of two-state neurons
    • 10.1073/pnas.81.10.3088 1:STN:280:DyaL2c3itF2jug%3D%3D 6587342
    • JJ Hopfield 1984 Neurons with graded response have collective computational properties like those of two-state neurons Proc Natl Acad Sci USA 81 3088 3092 10.1073/pnas.81.10.3088 1:STN:280:DyaL2c3itF2jug%3D%3D 6587342
    • (1984) Proc Natl Acad Sci USA , vol.81 , pp. 3088-3092
    • Hopfield, J.J.1
  • 11
    • 33244465560 scopus 로고    scopus 로고
    • Pattern recognition using asymmetric attractor neural networks
    • Jin T, Zhao H (2005) Pattern recognition using asymmetric attractor neural networks. Phys Rev E 72:066111
    • (2005) Phys Rev e , vol.72 , pp. 066111
    • Jin, T.1    Zhao, H.2
  • 12
    • 36149029495 scopus 로고
    • Learning algorithms with optimal stability in neural networks
    • 10.1088/0305-4470/20/11/013
    • W Krauth M Mezard 1987 Learning algorithms with optimal stability in neural networks J Phys A 20 11 L745 L752 10.1088/0305-4470/20/11/013
    • (1987) J Phys A , vol.20 , Issue.11
    • Krauth, W.1    Mezard, M.2
  • 13
    • 28244481049 scopus 로고    scopus 로고
    • Designing asymmetric Hopfield-type associative memory with higher order hamming stability
    • DOI 10.1109/TNN.2005.852863
    • DL Lee TC Chuang 2005 Designing asymmetric hopfield-type associative memory with higher order hamming stability IEEE Trans Neural Netw 16 1464 1476 10.1109/TNN.2005.852863 16342488 (Pubitemid 41709644)
    • (2005) IEEE Transactions on Neural Networks , vol.16 , Issue.6 , pp. 1464-1476
    • Lee, D.-L.1    Chuang, T.C.2
  • 14
    • 0001146478 scopus 로고
    • Cellular neural networks for associative memories
    • 10.1109/82.219843
    • D Liu AN Michel 1993 Cellular neural networks for associative memories IEEE Trans Circuits Syst 40 2 119 121 10.1109/82.219843
    • (1993) IEEE Trans Circuits Syst , vol.40 , Issue.2 , pp. 119-121
    • Liu, D.1    Michel, A.N.2
  • 16
    • 0026679036 scopus 로고
    • Stability conditions for nonlinear continuous neural networks with asymmetric connection weights
    • 10.1016/0893-6080(92)90011-7
    • K Matsuoka 1992 Stability conditions for nonlinear continuous neural networks with asymmetric connection weights Neural Netw 5 495 500 10.1016/0893-6080(92)90011-7
    • (1992) Neural Netw , vol.5 , pp. 495-500
    • Matsuoka, K.1
  • 17
    • 0025503345 scopus 로고
    • Analysis and synthesis of neural networks with lower block triangular interconnecting structure
    • 10.1109/31.103221
    • AN Michel DL Gray 1990 Analysis and synthesis of neural networks with lower block triangular interconnecting structure IEEE Trans Circuits Syst 37 1267 1283 10.1109/31.103221
    • (1990) IEEE Trans Circuits Syst , vol.37 , pp. 1267-1283
    • Michel, A.N.1    Gray, D.L.2
  • 18
    • 23944498581 scopus 로고    scopus 로고
    • Efficient Hopfield pattern recognition on a scale-free neural network
    • DOI 10.1140/epjb/e2003-00114-7
    • D Stauffer A Aharony LD Costa J Adler 2003 Efficient hopfield pattern recognition on a scale-free neural network Eur Phys J B 32 3 395 399 10.1140/epjb/e2003-00114-7 1:CAS:528:DC%2BD3sXjslGksbo%3D (Pubitemid 41201129)
    • (2003) European Physical Journal B , vol.32 , Issue.3 , pp. 395-399
    • Stauffer, D.1    Aharony, A.2    Da Fontoura Costa, L.3    Adler, J.4
  • 19
    • 0000780898 scopus 로고
    • Metastable states in asymmetrically diluted hopfield networks
    • 10.1088/0305-4470/21/14/016
    • A Treves DJ Amit 1988 Metastable states in asymmetrically diluted hopfield networks J Phys A: Math Gen 21 3155 3169 10.1088/0305-4470/21/14/016
    • (1988) J Phys A: Math Gen , vol.21 , pp. 3155-3169
    • Treves, A.1    Amit, D.J.2
  • 20
    • 0002221492 scopus 로고
    • The structure of the nervous system of the nematode Caenorhabditis elegans
    • 10.1098/rstb.1986.0056
    • JG White E Southgate JN Thomson S Brenner 1986 The structure of the nervous system of the nematode Caenorhabditis elegans Philos Trans R Soc Lond 314 1 340 10.1098/rstb.1986.0056
    • (1986) Philos Trans R Soc Lond , vol.314 , pp. 1-340
    • White, J.G.1    Southgate, E.2    Thomson, J.N.3    Brenner, S.4
  • 21
    • 0030130743 scopus 로고    scopus 로고
    • Asymmetric Hopfield-type networks: Theory and applications
    • DOI 10.1016/0893-6080(95)00114-X
    • ZB Xu GQ Hu CP Kwong 1996 Asymmetric hopfield-type networks: theory and applications Neural Netw 9 483 501 10.1016/0893-6080(95)00114-X (Pubitemid 26170418)
    • (1996) Neural Networks , vol.9 , Issue.3 , pp. 483-501
    • Xu, Z.-B.1    Hu, G.-Q.2    Kwong, C.-P.3
  • 22
    • 0028497220 scopus 로고
    • Exponential stability and oscillation of hopfield graded response neural network
    • 10.1109/72.317724 1:STN:280:DC%2BD1c7gvFejsA%3D%3D 18267846
    • H Yang TS Dillon 1994 Exponential stability and oscillation of hopfield graded response neural network IEEE Trans Neural Netw 5 719 729 10.1109/72.317724 1:STN:280:DC%2BD1c7gvFejsA%3D%3D 18267846
    • (1994) IEEE Trans Neural Netw , vol.5 , pp. 719-729
    • Yang, H.1    Dillon, T.S.2
  • 23
    • 41349103615 scopus 로고    scopus 로고
    • Designing asymmetric neural networks with associative memory
    • Zhao H (2004) Designing asymmetric neural networks with associative memory. Phys Rev E 70:066137
    • (2004) Phys Rev e , vol.70 , pp. 066137
    • Zhao, H.1
  • 24
    • 77953527079 scopus 로고    scopus 로고
    • Efficient continuous-time asymmetric hopfield networks for memory retrieval
    • doi: 10.1162/neco.2010.05-09-1014
    • Zheng P, Tang W, Zhang J (2010a) Efficient continuous-time asymmetric hopfield networks for memory retrieval. Neural Comput. doi: 10.1162/neco.2010. 05-09-1014
    • (2010) Neural Comput
    • Zheng, P.1    Tang, W.2    Zhang, J.3
  • 25
    • 73949093569 scopus 로고    scopus 로고
    • A simple method for designing efficient small-world neural networks
    • 10.1016/j.neunet.2009.11.005 19942404
    • P Zheng W Tang J Zhang 2010 A simple method for designing efficient small-world neural networks Neural Netw 23 2 155 159 10.1016/j.neunet.2009.11. 005 19942404
    • (2010) Neural Netw , vol.23 , Issue.2 , pp. 155-159
    • Zheng, P.1    Tang, W.2    Zhang, J.3
  • 26
    • 0028381957 scopus 로고
    • Design of hopfield content-addressable memories
    • 10.1109/78.275639
    • X Zhuang Y Huang FA Yu 1994 Design of hopfield content-addressable memories IEEE Trans Signal Process 42 2 492 495 10.1109/78.275639
    • (1994) IEEE Trans Signal Process , vol.42 , Issue.2 , pp. 492-495
    • Zhuang, X.1    Huang, Y.2    Yu, F.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.