Controlling chaos in a chaotic neural network
G He, Z Cao, P Zhu, H Ogura - Neural Networks, 2003 - Elsevier
The chaotic neural network constructed with chaotic neuron shows the associative memory
function, but its memory searching process cannot be stabilized in a stored state because of …
function, but its memory searching process cannot be stabilized in a stored state because of …
Associative memory with a controlled chaotic neural network
G He, L Chen, K Aihara - Neurocomputing, 2008 - Elsevier
A chaotic neural network (CNN) composed of chaotic neurons exhibits chaotic associative
dynamics for some values of the parameters, which indicate that the CNN is a promising …
dynamics for some values of the parameters, which indicate that the CNN is a promising …
Threshold control of chaotic neural network
G He, MD Shrimali, K Aihara - Neural Networks, 2008 - Elsevier
The chaotic neural network constructed with chaotic neurons exhibits rich dynamic behaviour
with a nonperiodic associative memory. In the chaotic neural network, however, it is difficult …
with a nonperiodic associative memory. In the chaotic neural network, however, it is difficult …
Functional brain network dynamics based on the Hindmarsh–Rose model
G Lv, N Zhang, K Ma, J Weng, P Zhu, F Chen, G He - Nonlinear Dynamics, 2021 - Springer
In order to reveal the dynamics of brain network, we proposed a new research method based
on the Hindmarsh–Rose model. In the method, a neural network model was developed by …
on the Hindmarsh–Rose model. In the method, a neural network model was developed by …
Rotor fault diagnosis of induction motor based on wavelet reconstruction
C Zhitong, C Hongping, H Guoguang… - … '2001. Proceedings of …, 2001 - ieeexplore.ieee.org
The fault of broken rotor bars in a three-phase induction motor is diagnosed by using the
wavelet multi-resolution analysis in this paper. Daubechies wavelet is selected as the wavelet …
wavelet multi-resolution analysis in this paper. Daubechies wavelet is selected as the wavelet …
Forecasting approach for short-term traffic flow based on principal component analysis and combined neural network
X Zhang, G He - Systems Engineering-Theory & Practice, 2007 - Elsevier
A combination approach based on Principal Component Analysis (PCA) and Combined
Neural Network (CNN) is presented for short-term traffic flow forecasting. The historical data of …
Neural Network (CNN) is presented for short-term traffic flow forecasting. The historical data of …
Controlling chaos in a neural network based on the phase space constraint
G He, Z Cao, H Chen, P Zhu - International Journal of Modern …, 2003 - World Scientific
The chaotic neural network constructed with chaotic neurons exhibits very rich dynamic
behaviors and has a nonperiodic associative memory. In the chaotic neural network, however, it …
behaviors and has a nonperiodic associative memory. In the chaotic neural network, however, it …
Support vector machine used to diagnose the fault of rotor broken bars of induction motors
…, F Jiazhong, C Hongpingn, H Guoguang… - … and Systems, 2003 …, 2003 - ieeexplore.ieee.org
The data-based machine learning is an important aspect of modern intelligent technology,
while statistical learning theory (SLT) is a new tool that studies the machine learning methods …
while statistical learning theory (SLT) is a new tool that studies the machine learning methods …
Partial state feedback control of chaotic neural network and its application
G He, MD Shrimali, K Aihara - Physics Letters A, 2007 - Elsevier
The chaos control in the chaotic neural network is studied using the partial state feedback
with a control signal from a few control neurons. The controlled CNN converges to one of the …
with a control signal from a few control neurons. The controlled CNN converges to one of the …
Controlling a chaotic neural network for information processing
Y Li, P Zhu, X Xie, H Chen, K Aihara, G He - Neurocomputing, 2013 - Elsevier
A dynamic phase–space constraint method is proposed to control complex chaotic dynamics
in a chaotic neural network (CNN), by limiting refractoriness internal states with a time-…
in a chaotic neural network (CNN), by limiting refractoriness internal states with a time-…