Results 241 to 250 of about 1,813,184 (347)

Spatial‐Wavelength Multiplexing Error‐Controlled Photonic Analog Computing System

Advanced Science, EarlyView.
A novel photonic integrated circuit prototype implementing the concept of general‐purpose analog computing and demonstrate its capability in radio frequency applications. The chip features a multichannel architecture and performs fully optical analog computation with frequency‐domain parallel processing. An FPGA‐based error‐correction algorithm aims to
Tao Zhu, Bowen Zhu, Shicheng Zhang, Keren Li, Xianchen Wu, Yazhi Pi, Jie Yan, Daigao Chen, Bingli Guo, Xi Xiao, Lei Wang, Xiaochuan Xu, Xuwei Xue, Shanguo Huang, Zizheng Cao, Shaohua Yu   +15 more
wiley   +1 more source

Atypical Resting-State and Task-Evoked EEG Signatures in Children with Developmental Language Disorder. [PDF]

Bioengineering (Basel)
Liang A, Cui Z, Shi Y, Qu C, Wei Z, Wang H, Zhang X, Ning X, Ni X, Fang J.   +9 more
europepmc   +1 more source

Artificial neural network analysis of a fractional cyber-epidemic model in wireless sensors under the proportional Hadamard-Caputo operator. [PDF]

Sci Rep
Barakat MA, Hyder AA, Aboelenen T, Iqbal N, Shafee A, Noori N.   +5 more
europepmc   +1 more source

Fractional order modeling of hepatitis C transmission dynamics with physics-informed neural network solutions. [PDF]

BMC Infect Dis
Muthupandi V, Gnanaprakasam AJ, Boulaaras S.   +2 more
europepmc   +1 more source

Unified Space-Time-Message Interference Alignment: An End-to-End Learning Approach. [PDF]

Entropy (Basel)
Sadeghabadi E, Blostein S.
europepmc   +1 more source

Intelligent decision-making for mine ventilation systems based on graph neural network and deep reinforcement learning fusion. [PDF]

Sci Rep
Zhang K, Yang X, Li H.
europepmc   +1 more source

EconoGNN: A graph neural network framework for temporal economic resilience insights. [PDF]

PLoS One
Araujo M, Rodrigues F, Sousa E.
europepmc   +1 more source

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Dynamics of periodic delayed neural networks

Neural Networks, 2004
This paper formulates and studies a model of periodic delayed neural networks. This model can well describe many practical architectures of delayed neural networks, which is generalization of some additive delayed neural networks such as delayed Hopfield neural networks and delayed cellular neural networks, under a time-varying environment ...
Zhou, Jin, Liu, Zengrong, Chen, Guanrong
openaire   +4 more sources

Improved Stability Analysis for Delayed Neural Networks

IEEE Transactions on Neural Networks and Learning Systems, 2018
In this brief, by constructing an augmented Lyapunov-Krasovskii functional in a triple integral form, the stability analysis of delayed neural networks is investigated. In order to exploit more accurate bounds for the derivatives of triple integrals, new double integral inequalities are developed, which include some recently introduced estimation ...
Zhichen Li, Yan Bai, Congzhi Huang, Huaicheng Yan, Shicai Mu   +4 more
openaire   +3 more sources