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FIXED/PREASSIGNED-TIME SYNCHRONIZATION OF QUATERNION-VALUED NEURAL NETWORKS INVOLVING DELAYS AND DISCONTINUOUS ACTIVATIONS: A DIRECT APPROACH
《Acta Mathematica Scientia》2023年第3期1439-1461,共23页魏琬璐 胡成 于娟 蒋海军 
supported by the National Natural Science Foundation of China (61963033, 61866036, 62163035);the Key Project of Natural Science Foundation of Xinjiang (2021D01D10);the Xinjiang Key Laboratory of Applied Mathematics (XJDX1401);the Special Project for Local Science and Technology Development Guided by the Central Government (ZYYD2022A05)。
The fixed-time synchronization and preassigned-time synchronization are investigated for a class of quaternion-valued neural networks with time-varying delays and discontinuous activation functions. Unlike previous ef...
关键词：fixed-time synchronization preassigned-time synchronization quaternion-valued neural networks discontinuous activation direct analysis method 
Polynomial synchronization of complexvalued inertial neural networks with multiproportional delays
《Communications in Theoretical Physics》2022年第12期146-153,共8页Zhuang Yao Ziye Zhang Zhen Wang Chong Lin Jian Chen 
the National Natural Science Foundation of China (61503222, 62173214);the Natural Science Foundation of Shandong Province of China (ZR2021MF100);the Research Fund for the Taishan Scholar Project of Shandong Province of China;in part by the Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China (2019KJI005);in part by the SDUST Research Fund
This paper investigates the polynomial synchronization(PS)problem of complex-valued inertial neural networks with multi-proportional delays.It is analyzed based on the non-separation method.Firstly,an exponential tran...
关键词：complex-valued inertial neural networks polynomial synchronization multiproportional delays non-separation approach 
Finite-time Mittag-Leffler synchronization of fractional-order complex-valued memristive neural networks with time delay
《Chinese Physics B》2022年第10期297-306,共10页Guan Wang Zhixia Ding Sai Li Le Yang Rui Jiao 
Project supported by the National Natural Science Foundation of China (Grant Nos. 62176189 and 62106181);the Hubei Province Key Laboratory of Systems Science in Metallurgical Process (Wuhan University of Science and Technology) (Grant No. Y202002)。
Without dividing the complex-valued systems into two real-valued ones, a class of fractional-order complex-valued memristive neural networks(FCVMNNs) with time delay is investigated. Firstly, based on the complex-valu...
关键词：finite-time Mittag-Leffler synchronization fractional-order complex-valued memristive neural networks time delay 
Complex-Valued Neural Networks:A Comprehensive Survey被引量：5
《IEEE/CAA Journal of Automatica Sinica》2022年第8期1406-1426,共21页ChiYan Lee Hideyuki Hasegawa Shangce Gao 
partially supported by the JSPS KAKENHI(JP22H03643,JP19K22891)。
Complex-valued neural networks(CVNNs)have shown their excellent efficiency compared to their real counterparts in speech enhancement,image and signal processing.Researchers throughout the years have made many efforts ...
关键词：Complex activation function complex backpropagation algorithm complex-valued learning algorithm complex-valued neural network deep learning 
The Module-Phase Synchronization of Complex-Valued Neural Networks with Time-Varying Delay and Stochastic Perturbations
《Journal of Systems Science & Complexity》2021年第6期2139-2154,共16页NIAN Fuzhong LI Jia 
supported by the National Natural Science Foundation of China under Grant No.61863025;International S&T Cooperation Projects of Gansu province under Grant No.144WCGA166;Longyuan Young Innovation Talents and the Doctoral Foundation of LUT。
The problem of exponential module-phase synchronization of complex-valued neural networks(CVNNs)with time-varying delay and stochastic perturbations was investigated.The model of CVNNs with time-varying delay and stoc...
关键词：Complex-valued neural networks exponential module-phase synchronization Lyapunov function time-varying delay 
Dynamics of Anti-Periodic Solutions for Inertial Quaternion-Valued Hopfield Neural Networks with Time-Varying Delays被引量：1
《Journal of Mathematical Research with Applications》2021年第5期461-472,共12页Ailing LI Mengting LV 
Supported by the Basic Research Expenses for Provincial Colleges and Universities(Grant No.JYT2020030)。
Periodicity, anti-periodicity and almost periodicity are significant dynamic behaviors of time-varying neural networks. This paper researches the dynamics of anti-periodic solutions for a kind of inertial Quaternion-v...
关键词：anti-periodic solution asymptotic stability continuation theorem Quaternion-valued inertial neural networks 
Compressing deep-quaternion neural networks with targeted regularisation被引量：1
《CAAI Transactions on Intelligence Technology》2020年第3期172-176,共5页Riccardo Vecchi Simone Scardapane Danilo Comminiello Aurelio Uncini 
In recent years,hyper-complex deep networks(such as complex-valued and quaternion-valued neural networks–QVNNs)have received a renewed interest in the literature.They find applications in multiple fields,ranging from...
关键词：networks NEURAL VALUED 
Solution of Inverse Problem on Distributed Generation Using Complex-Valued Network Inversion
《Journal of Mechanics Engineering and Automation》2011年第6期436-444,共9页Takehiko Ogawa Kyosuke Nakamura 
Solutions of inverse problems are required in various fields of science and engineering. The concept of network inversion has been studied as a neural-network-based solution to inverse problems. In general, inverse pr...
关键词：Neural networks network inversion complex numbers inverse problems distributed generation 
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