Learning of limit cycles in discrete-time neural network

Neurocomputing

Volumn 13, Issue 1, 1996, Pages 1-10

  Kumagai, Toru ^a   Hashimoto, Ryoichi ^a   Wada, Mitsuo ^a  

^a NATL INST BIOSCI HUM TECHNOL   (Japan)

Author keywords

Binary neuron model; Discrete tune neural network; Limit cycles; Recurrent neural network

Indexed keywords

COMPUTER SIMULATION; LEARNING SYSTEMS; NEUROPHYSIOLOGY; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS;

BINARY NEURON MODEL; DISCRETE-TUNE NEURAL NETWORK; LIMIT CYCLES; RECURRENT NEURAL NETWORK; STIMULUS;

NEURAL NETWORKS;

ARTICLE; CONTROLLED STUDY; LEARNING; MATHEMATICAL ANALYSIS; MODEL; NERVE CELL NETWORK; PRIORITY JOURNAL;

EID: 0030245801     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/0925-2312(95)00073-9     Document Type: Article

References (5)

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2. [2] J. Nagumo and S. Sato, On a response characteristic of a mathematical neuron model, Cybernetic 10 (1972) 155-164.
3. [3] S. Gardella, T. Kumagai, R. Hashimoto and M. Wada, On the dynamics and applications of a discrete time binary neural network with time delay, J. Intelligent and Fuzzy Systems (1994) 221-228.
4. [4] I.J. Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proc. Nat. Acad. Sci. 79 (1982) 2554-2558.
5. [5] T. Kumagai, R. Hashimoto, M. Wada, M. Tanaka and Y. Yoshida, Control of an active mass damper using layered neural networks, Proc. 1993 JSME Int. Conf. on Advanced Mechatronics, Tokyo (1993) 943-948.