Multistability and multiperiodicity of high-order competitive neural networks with a general class of activation functions

Neurocomputing

Volumn 82, Issue , 2012, Pages 1-13

  Nie, Xiaobing ^a   Huang, Zhenkun ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b JIMEI UNIVERSITY   (China)

Author keywords

Competitive neural networks; High order synaptic connectivity; Multiperiodicity; Multistability

Indexed keywords

ACTIVATION FUNCTIONS; COMPETITIVE NEURAL NETWORK; DECOMPOSITION OF STATE SPACE; EQUILIBRIUM POINT; EXPONENTIALLY STABLE; EXTERNAL INPUT; FASTER CONVERGENCE; FIRST-ORDER; GENERAL CLASS; HALANAY INEQUALITY; HIGH-ORDER; INEQUALITY TECHNIQUES; MULTIPERIODICITY; MULTIPLE PERIODIC SOLUTIONS; MULTISTABILITY; STORAGE CAPACITY; SUFFICIENT CONDITIONS; SYNAPTIC CONNECTIVITY;

COMPUTER APPLICATIONS;

NEURAL NETWORKS;

ACTIVATION FUNCTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER MEMORY; COMPUTER SIMULATION; CONVERGENCE RATE; EQUILIBRIUM POINT; HIGH ORDER COMPETITIVE NEURAL NETWORK; HIGH ORDER SYNAPTIC CONNECTIVITY; INFORMATION STORAGE; INFORMATION TECHNOLOGY; MATHEMATICAL COMPUTING; MULTIPERIODICITY; MULTISTABILITY; PRIORITY JOURNAL; STORAGE CAPACITY;

EID: 84856416620     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.09.032     Document Type: Article

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