Complex Dynamics, Hardware Implementation and Image Encryption Application of Multiscroll Memeristive Hopfield Neural Network With a Novel Local Active Memeristor

Because of the nonlinearity and memory, memristors are the most suitable electrical component for simulating synapses. A novel local active and nonvolatile memristor is designed. By circuit experiments, its memristive properties are verified. By introducing this memristor, this paper constructs a 4D...

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Veröffentlicht in:	IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2023-01, Vol.70 (1), p.1-1
Hauptverfasser:	Yu, Fei, Kong, Xinxin, Mokbel, Abdulmajeed Abdullah Mohammed, Yao, Wei, Cai, Shuo
Format:	Artikel
Sprache:	eng
Schlagworte:	Circuit design Complexity Controllability Digital electronics Eigenvalues and eigenfunctions Electric components Encryption Entropy (Information theory) Field programmable gate arrays FPGA Image Encryption Mathematical models Memeristive Hopfield neural network (MHNN) Memristor Memristors Multiscroll Neural networks Neurons Nonvolatile memory Pseudorandom Random numbers Signal generators Synapses
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