Learning in memristive neural network architectures using analog backpropagation circuits

O Krestinskaya, KN Salama… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The on-chip implementation of learning algorithms would speed up the training of neural
networks in crossbar arrays. The circuit level design and implementation of a back …

Dynamical analysis of a novel fractional-order chaotic system based on memcapacitor and meminductor

X Liu, J Mou, J Wang, S Banerjee, P Li - Fractal and Fractional, 2022 - mdpi.com
In this paper, a chaotic circuit based on a memcapacitor and meminductor is constructed,
and its dynamic equation is obtained. Then, the mathematical model is obtained by …

Emotion model of associative memory possessing variable learning rates with time delay

L Yang, C Wang - Neurocomputing, 2021 - Elsevier
Lots of researchers have used memristors to realize the emotion model of associative
memory. In previous works, researchers analyzed this associative memory from two …

An FPGA-based memristor emulator for artificial neural network

Z Zhang, C Li, W Zhang, J Zhou, G Liu - Microelectronics Journal, 2023 - Elsevier
Emulating memristor via FPGA offers flexibility for quick prototyping and design space
exploration because memristor manufacture and integration are currently insufficient for …

Algoritma Backpropagation Prediksi Harga Komoditi terhadap Karakteristik Konsumen Produk Kopi Lokal Nasional

PI Sijabat, Y Yuhandri, GW Nurcahyo… - Digital Zone: Jurnal …, 2020 - journal.unilak.ac.id
Kopi bagian penting dari komoditi pasar nasional maupun internasional. Secara nasional
jenis kopi lokal beragam sesuai nama daerah penghasil mengalami naik turun harga Perlu …

AI technology for remote clinical assessment and monitoring

G Zoppo, F Marrone, M Pittarello… - Journal of wound …, 2020 - magonlinelibrary.com
Objective: To report the clinical validation of an innovative, artificial intelligence (AI)-
powered, portable and non-invasive medical device called Wound Viewer. The AI medical …

A new simple chaotic circuit based on memristor and meminductor

X Liu, J Mou, J Wang, J Liu, Y Cao - The European Physical Journal …, 2021 - epjplus.epj.org
In this paper, a new chaotic circuit composed of memristor, meminductor, and capacitor in
series is presented. The dimensionless mathematical model of the circuit is built. Then, the …

Binary weighted memristive analog deep neural network for near-sensor edge processing

O Krestinskaya, AP James - 2018 IEEE 18th International …, 2018 - ieeexplore.ieee.org
The memristive crossbar aims to implement analog weighted neural network, however, the
realistic implementation of such crossbar arrays is not possible due to limited switching …

Stability and Hopf Bifurcation Analysis of an (n + m)-Neuron Double-Ring Neural Network Model with Multiple Time Delays

R Xing, M Xiao, Y Zhang, J Qiu - Journal of Systems Science and …, 2022 - Springer
Up till the present moment, researchers have always featured the single-ring neural network.
These investigations, however, disregard the link between rings in neural networks. This …

A chaotic oscillator based on meminductor, memcapacitor, and memristor

X Liu, X Bi, H Yan, J Mou - Complexity, 2021 - Wiley Online Library
In this paper, a hyperchaotic circuit consisting of a series memristor, meminductor, and
memcapacitor is proposed. The dimensionless mathematical model of the system is …