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VIET-THANH PHAM1,* , C. VOLOS2, S. JAFARI3, XIONG WANG4, SUNDARAPANDIAN VAIDYANATHAN5
Potential applications of memristors in low-power processors, ultra-dense memories, programmable analog integrated circuits, and especially neural networks, have been reported recently. This paper introduces a novel simple neural network having a memristive synaptic weight. Fundamental behavior of the proposed neural network is investigated through numerical simulations and circuital implementation. It is very interesting that this memristive neural network can exhibit hyperchaos although it possesses no equilibrium points..
Neural network, Memristor, Hyperchaos, Hidden attractor, Equilibrium, Synapse, Lyapunov exponent.
VIET-THANH PHAM, C. VOLOS, S. JAFARI, XIONG WANG, SUNDARAPANDIAN VAIDYANATHAN, Hidden hyperchaotic attractor in a novel simple memristive neural network, Optoelectronics and Advanced Materials - Rapid Communications, 8, 11-12, November-December 2014, pp.1157-1163 (2014).
Submitted at: Aug. 28, 2014
Accepted at: Nov. 13, 2014
Optoelectronics and Advanced Materials - Rapid Communications
(2022): 0.5 - 2022 Journal Citation Reports (Clarivate Analytics, 2023)
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