Shukai Duan focuses on Memristor, Artificial neural network, Control theory, Electronic engineering and Memistor. Shukai Duan combines subjects such as Optoelectronics, Nonlinear system and Spice with his study of Memristor. His Artificial neural network research includes elements of Exponential stability, Lyapunov function and Theoretical computer science.
His Control theory study typically links adjacent topics like Chaotic. His Electronic engineering research is multidisciplinary, incorporating perspectives in Image processing and Computer hardware. His Memistor research focuses on Semiconductor memory and how it relates to Static random-access memory and Resistive random-access memory.
His scientific interests lie mostly in Memristor, Artificial neural network, Artificial intelligence, Control theory and Electronic engineering. Shukai Duan interconnects Electronic circuit, Neuromorphic engineering, Content-addressable memory, Memistor and Nonlinear system in the investigation of issues within Memristor. As a part of the same scientific family, Shukai Duan mostly works in the field of Artificial neural network, focusing on Algorithm and, on occasion, Kernel and Function.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition. His work on Exponential stability, Lyapunov function and Control theory as part of general Control theory research is frequently linked to Synchronization, bridging the gap between disciplines. His Lyapunov exponent study, which is part of a larger body of work in Chaotic, is frequently linked to Synchronization of chaos, bridging the gap between disciplines.
Shukai Duan mostly deals with Memristor, Artificial intelligence, Artificial neural network, Chaotic and Logic gate. His Memristor research entails a greater understanding of Electronic engineering. He works mostly in the field of Artificial intelligence, limiting it down to concerns involving Computer vision and, occasionally, Cellular neural network.
His work carried out in the field of Artificial neural network brings together such families of science as Passivity, Control theory, Control theory and Control. His study on Chaotic also encompasses disciplines like
Shukai Duan mainly focuses on Memristor, Artificial neural network, Chaotic, Logic gate and Artificial intelligence. His Memristor study is related to the wider topic of Electronic engineering. His studies deal with areas such as Control, Control theory, Control theory and Reaction–diffusion system as well as Artificial neural network.
His biological study spans a wide range of topics, including Plaintext, Decoding methods, Image and Scrambling. In his work, Spiking neural network, MNIST database and Chip is strongly intertwined with Neuromorphic engineering, which is a subfield of Logic gate. The Classifier, Deep belief network, Softmax function and Deep learning research Shukai Duan does as part of his general Artificial intelligence study is frequently linked to other disciplines of science, such as Memory systems, therefore creating a link between diverse domains of science.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Robust Exponential Stability of Uncertain Delayed Neural Networks With Stochastic Perturbation and Impulse Effects
Tingwen Huang;Chuandong Li;Shukai Duan;J. A. Starzyk.
IEEE Transactions on Neural Networks (2012)
Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and Applications
Shukai Duan;Xiaofang Hu;Zhekang Dong;Lidan Wang.
IEEE Transactions on Neural Networks (2015)
Electronic Nose Feature Extraction Methods: A Review.
Jia Yan;Xiuzhen Guo;Shukai Duan;Pengfei Jia.
MEMRISTOR MODEL AND ITS APPLICATION FOR CHAOS GENERATION
Lidan Wang;Emmanuel M. Drakakis;Shukai Duan;Pengfei He.
International Journal of Bifurcation and Chaos (2012)
Analog memristive memory with applications in audio signal processing
ShuKai Duan;XiaoFang Hu;LiDan Wang;ChuanDong Li.
Science in China Series F: Information Sciences (2014)
Exponential Stability of Complex-Valued Memristive Recurrent Neural Networks
Huamin Wang;Shukai Duan;Tingwen Huang;Lidan Wang.
IEEE Transactions on Neural Networks (2017)
Coexistence of Negative Differential Resistance and Resistive Switching Memory at Room Temperature in TiOx Modulated by Moisture
Guangdong Zhou;Shukai Duan;Ping Li;Bai Sun.
Advanced electronic materials (2018)
Memristive crossbar array with applications in image processing
XiaoFang Hu;ShuKai Duan;LiDan Wang;XiaoFeng Liao.
Science in China Series F: Information Sciences (2012)
Artificial and wearable albumen protein memristor arrays with integrated memory logic gate functionality
Guangdong Zhou;Zhijun Ren;Lidan Wang;Bai Sun.
Materials horizons (2019)
Resistive switching memory integrated with amorphous carbon-based nanogenerators for self-powered device
Guangdong Zhou;Zhijun Ren;Lidan Wang;Jinggao Wu.
Nano Energy (2019)
Profile was last updated on December 6th, 2021.
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