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Chapter and Conference Paper
Adaptive Observer-Based Control for a Class of Nonlinear Stochastic Systems with Parameter Uncertainty
The adaptive control problem was discussed for stochastic nonlinear systems with parameter uncertainty in this paper. The actual systems such as distributed network systems, weather systems or industrial cont...
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Chapter and Conference Paper
Chaotic Neural Network with Legendre Function Self-feedback and Applications
A new transient chaotic neuron model which introduces Legendre function into the self-feedback term is constructed. The dynamic characteristics of the single neuron are analyzed by the time evolution graph an...
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Chapter and Conference Paper
An Algorithm of Image Encryption Based on Bessel Self-feedback Chaotic Neural Network
Image encryption protects image information by scrambling digital image data to make the image unrecognizable. One of the digital image characteristics is a large amount of data, and the other is high redunda...
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Chapter and Conference Paper
Improved YOLOv3 Road Multi-target Detection Method
Traditional object detection algorithms have problems of low efficiency and high error rate in traffic object detection. So, this study proposes an improved algorithm based on YOLOv3. Firstly, the K-means++ al...
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Chapter and Conference Paper
The White Noise Impact on the Optimal Performance of the Hopfield Neural Network
Hopfield neural network (HNN) is an efficient optimization model, but it easily produces random noise. White noise is an ideal model and is more convenient in the mathematical analysis. This paper presents a n...
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Chapter and Conference Paper
The Analysis of the Energy Function of Chaotic Neural Network with White Noise
In order to study the anti-noise capability of chaotic neural network in this paper, noise function is introduced into Chen’s chaotic neural network model. The time evolution of the reverse bifurcation and the...