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检索条件"机构=Chongqing Key Laboratory of Non-Linear Circuits and Intelligent Information Processing"
172 条 记 录,以下是111-120 订阅
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Effects of Acute Moderate Intensity Exercise on Emotion Based on beta Power in EEG  2019
Effects of Acute Moderate Intensity Exercise on Emotion Base...
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Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence
作者: Pengfei Gao Zhengji Long Zhangyan Xiao Fu Yang Jihai Zhang Guangyuan Liu School of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Processing Chongqing China
According to previous studies, high anxiety leads to an increase in beta power, while pleasure and relaxation of emotion reduces beta power. In this experiment, the International Standard Picture Stimulation Library(I... 详细信息
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Synchronization of Reaction-Diffusion Neural Networks with Sampled-Data Control Via a New Two-Sided Looped Functional
SSRN
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SSRN 2022年
作者: Huan, Mingchen Li, Chuandong Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China
In this paper, the exponential synchronization problem of reaction-diffusion neural networks with sampled-data control is addressed via looped-functional approach. Considering the transmission delay of sampled-data co... 详细信息
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Another Two-Timescale Duplex Neurodynamic Approach to Portfolio Selection  11
Another Two-Timescale Duplex Neurodynamic Approach to Portfo...
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11th International Conference on intelligent Control and information processing, ICICIP 2021
作者: Leung, Man-Fai Wang, Jun Che, Hangjun Hong Kong Metropolitan University School of Science and Technology Hong Kong City University of Hong Kong Department of Computer Science School of Data Science Hong Kong Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Chongqing China
This paper is concerned with portfolio selection based on the Markowitz mean-variance framework using neurodynamic optimization. The portfolio optimization problem is formulated as a biconvex optimization problem. A t... 详细信息
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Kernel Least Mean Square Based on the Sparse Nyström Method
Kernel Least Mean Square Based on the Sparse Nyström Method
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IEEE International Symposium on circuits and Systems (ISCAS)
作者: Haonan Zhang Han Jiang Shiyuan Wang Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing 400715 China
Kernel least mean square based on the Nyström method (NysKLMS) has been proposed to fix the network structure of kernel least mean square (KLMS) by approximating a large Gram matrix with a low-rank matrix generat... 详细信息
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Mean Square Exponential Stabilization Analysis of Stochastic Neural Networks with Saturated Impulsive Input
SSRN
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SSRN 2023年
作者: Deng, Hao Li, Chuandong Chang, Fei Wang, Yinuo Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China
The exponential stabilization of stochastic neural networks in mean square sense with saturated impulsive input is investigated in this paper. Firstly, the saturated term is handled by polyhedral representation method... 详细信息
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Accelerated Row-stochastic Optimization over Directed Graphs with Uncoordinated Step Sizes
Accelerated Row-stochastic Optimization over Directed Graphs...
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International Conference on Control and Automation (ICCA)
作者: Kang Zhou Zhenyuan Du Huaqing Li Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing PR China
This paper investigates a distributed optimization problem over a multiagent network, in which the target of agents is to collaboratively optimize the sum of all local objective functions. The case discusses that the ... 详细信息
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Finite-Time Stability of Solutions for non-Instantaneous Impulsive Systems and Application to non-Instantaneous Impulsive Neural Networks
SSRN
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SSRN 2022年
作者: Deng, Hao Li, Chuandong Wang, Yinuo Wu, Hongjuan Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China
This work extends the finite-time stability (FTS) results to non-instantaneous impulsive time-varying systems on the basis of general impulsive systems via Lyapunov theory. The impacts of impulse numbers, impulse time... 详细信息
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Software and Hardware Synergy for Accelerated Plant Disease Identification
SSRN
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SSRN 2024年
作者: Wen, Hongxing Chen, Ling College of Electronic Information and Engineering Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing400715 China
Plant diseases are one of the main causes of reduced crop yields. Therefore, it is necessary to adopt timely and effective identification methods and take corresponding measures. Some physical and biological detection... 详细信息
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Neurodynamics-based Iteratively Reweighted Convex Optimization for Sparse Signal Reconstruction  12
Neurodynamics-based Iteratively Reweighted Convex Optimizati...
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12th International Conference on information Science and Technology, ICIST 2022
作者: Che, Hangjun Wang, Jun Cichocki, Andrzej College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing400715 China City University of Hong Kong Department of Computer Science and School of Data Science Hong Kong Hong Kong Skolkovo Institute of Science and Technology Moscow143026 Russia
In this paper, sparse signal reconstruction is for-mulated a q-ratio minimization problem subjecting to linear underdetermined equations. In view of the nonconvexity of the objective function, the q-ratio formulation ... 详细信息
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Privacy Preserving Frequent Itemsets Mining Based on Database Reconstruction
Privacy Preserving Frequent Itemsets Mining Based on Databas...
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International Conference on information Science and Technology (ICIST)
作者: Shaoxin Li Nankun Mu Xiaofeng Liao Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing P. R. China
Privacy preserving frequent itemsets mining (PP-FIM) aims at transforming a database so as to efficiently achieve frequent itemsets mining without revealing any sensitive knowledge. However, the majority of the propos... 详细信息
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