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Volumn 2084 LNCS, Issue PART 1, 2001, Pages 546-553

Studying neural networks of bifurcating recursive processing elements - Quantitative methods for architecture design and performance analysis

Author keywords

Associative memories; Bifurcation and chaos; Chaotic neural networks; Design of neural architectures; Non linear dynamics; Parametric recursive processing elements

Indexed keywords

ASSOCIATIVE PROCESSING; ASSOCIATIVE STORAGE; BIFURCATION (MATHEMATICS); COMPUTER ARCHITECTURE; DESIGN; HAMMING DISTANCE; NEURAL NETWORKS; ARTIFICIAL INTELLIGENCE; NETWORK ARCHITECTURE;

EID: 10944220551     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45720-8_65     Document Type: Conference Paper
Times cited : (5)

References (8)
  • 1
    • 0001553201 scopus 로고
    • Chaotic neural networks
    • K. Aihara et al. Chaotic Neural Networks, Physica Letters A, 144 333, 1990.
    • (1990) Physica Letters A , vol.144 , pp. 333
    • Aihara, K.1
  • 2
    • 0002731601 scopus 로고
    • The coupled map lattice: Introduction, phenomenology, lyapunov analysis, thermodynamics and applications
    • John Wiley Sons
    • K. Kaneko, The Coupled Map Lattice: Introduction, Phenomenology, Lyapunov Analysis, Thermodynamics and Applications, in Theory and Applications of Coupled Map Lattices, John Wiley Sons, 1993.
    • (1993) Theory and Applications of Coupled Map Lattices
    • Kaneko, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.