Dynamic Analysis and Implementation of FPGA for a New 4D Fractional-Order Memristive Hopfield Neural Network
Changsha University of Science and Technology
Abstract
Memristor-based fractional-order chaotic systems can record information from the past, present, and future, and describe the real world more accurately than integer-order systems. This paper proposes a novel memristor model and verifies its characteristics through the pinched loop (PHL) method. Subsequently, a new fractional-order memristive Hopfield neural network (4D-FOMHNN) is introduced to simulate induced current, accompanied by Caputo’s definition of fractional order. An Adomian decomposition method (ADM) is employed for system solution. By varying the parameters and order of the 4D-FOMHNN, rich dynamic behaviors including transient chaos, chaos, and coexistence attractors are observed using methods such…
Citation impact
- FWCI
- 102.91
- Percentile
- 100%
- References
- 74
Authors
6- FYFei YuCorresponding
Changsha University of Science and Technology
- SZShankou Zhang
Changsha University of Science and Technology
- DSDan Su
Changsha University of Science and Technology
- YWYi-Chen Wu
Changsha University of Science and Technology
- YMYumba Musoya Gracia
Changsha University of Science and Technology
Topics & keywords
- Hopfield network
- Artificial neural network
- Field-programmable gate array
- Computer science
- Order (exchange)
- Computer architecture
- Artificial intelligence
- Embedded system