Shiping Wen
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Explore the profile of Shiping Wen including associated specialties, affiliations and a list of published articles.
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93
Citations
74
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Recent Articles
11.
Jiang Y, Zhu S, Liu X, Wen S, Mu C
Neural Netw
. 2024 Jul;
178:106545.
PMID: 39053198
This paper is concerned with the input-to-state stability (ISS) for a kind of delayed memristor-based inertial neural networks (DMINNs). Based on the nonsmooth analysis and stability theory, novel delay-dependent and...
12.
Sun J, Wang J, Wen S, Wang Y, Wang Y
IEEE Trans Neural Netw Learn Syst
. 2024 Jul;
PP.
PMID: 39012737
Pavlovian associative memory plays an important role in our daily life and work. The realization of Pavlovian associative memory at the deoxyribonucleic acid (DNA) molecular level will promote the development...
13.
Zhang J, Zhu S, Liu X, Wen S, Mu C
IEEE Trans Neural Netw Learn Syst
. 2024 Jul;
PP.
PMID: 38990753
This article investigates the finite-time stabilization problem of inertial memristive neural networks (IMNNs) with bounded and unbounded time-varying delays, respectively. To simplify the theoretical derivation, the nonreduced order method is...
14.
Wang J, Zhu S, Mu C, Liu X, Wen S
Neural Netw
. 2024 Jul;
179:106498.
PMID: 38986183
This article provides a unified analysis of the multistability of fraction-order multidimensional-valued memristive neural networks (FOMVMNNs) with unbounded time-varying delays. Firstly, based on the knowledge of fractional differentiation and memristors,...
15.
Sheng Z, Cao Y, Yang Y, Feng Z, Shi K, Huang T, et al.
IEEE Trans Neural Netw Learn Syst
. 2024 Jun;
PP.
PMID: 38870002
As a pivotal subfield within the domain of time series forecasting, runoff forecasting plays a crucial role in water resource management and scheduling. Recent advancements in the application of artificial...
16.
Yan Z, Sun W, Guo W, Li B, Wen S, Cao J
IEEE Trans Neural Netw Learn Syst
. 2024 May;
PP.
PMID: 38709607
Activation functions have a significant effect on the dynamics of neural networks (NNs). This study proposes new nonmonotonic wave-type activation functions and examines the complete stability of delayed recurrent NNs...
17.
Lyu B, Yang Y, Cao Y, Shi T, Chen Y, Huang T, et al.
Neural Netw
. 2024 Apr;
175:106312.
PMID: 38642415
In recent years, there has been a significant advancement in memristor-based neural networks, positioning them as a pivotal processing-in-memory deployment architecture for a wide array of deep learning applications. Within...
18.
Dou G, Guo W, Kong L, Sun J, Guo M, Wen S
IEEE Trans Biomed Circuits Syst
. 2024 Apr;
18(5):1166-1177.
PMID: 38619952
Most operant conditioning circuits predominantly focus on simple feedback process, few studies consider the intricacies of feedback outcomes and the uncertainty of feedback time. This paper proposes a neuromorphic circuit...
19.
Yang X, Che H, Leung M, Wen S
Neural Netw
. 2024 Apr;
175:106295.
PMID: 38614023
Multi-view unsupervised feature selection (MUFS) is an efficient approach for dimensional reduction of heterogeneous data. However, existing MUFS approaches mostly assign the samples the same weight, thus the diversity of...
20.
Pruning and quantization algorithm with applications in memristor-based convolutional neural network
Guo M, Sun Y, Zhu Y, Han M, Dou G, Wen S
Cogn Neurodyn
. 2024 Feb;
18(1):233-245.
PMID: 38406206
The human brain's ultra-low power consumption and highly parallel computational capabilities can be accomplished by memristor-based convolutional neural networks. However, with the rapid development of memristor-based convolutional neural networks in...