55 Result(s)

Chapter and Conference Paper

Combining Multi Wavelet and Multi NN for Power Systems Load Forecasting

In the paper, two pre-processing methods for load forecast sampling data including multiwavelet transformation and chaotic time series are introduced. In addition, multi neural network for load forecast includ...

Zhigang Liu, Qi Wang, Yajun Zhang in Advances in Neural Networks - ISNN 2008 (2008)

Chapter and Conference Paper

Robust Stability of Switched Recurrent Neural Networks with Discrete and Distributed Delays under Uncertainty

With the rapid development of intelligent control, switched systems have attracted great attention. In this letter, we try to introduce the idea of the switched systems into the field of recurrent neural netwo...

Shi** Wen, Zhigang Zeng, Lingfa Zeng in Advances in Neural Networks - ISNN 2008 (2008)

Chapter and Conference Paper

Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities

The general projection neural network (GPNN) is a versatile recurrent neural network model capable of solving a variety of optimization problems and variational inequalities. In a recent article [IEEE Trans. N...

**aolin Hu, Zhigang Zeng, Bo Zhang in Advances in Neural Networks - ISNN 2008 (2008)

Article

Editorial to special issue: computational intelligence for optimization, modeling and control

Zeng-Guang Hou, Zhigang Zeng, Changyin Sun in Neural Computing and Applications (2009)

Article

Editorial to special issue: Biomedical engineering: information processing, modeling, and control

Zeng-Guang Hou, Long Cheng, Zhigang Zeng, Min Tan in Neural Computing and Applications (2011)

Chapter and Conference Paper

An Image Encryption Algorithm Based on Small Permutation Array Combining

In traditional chaotic map based image encryption algorithm, the encryption performance is determined by the permutation generating speed, and due to short periodical problem led by the finite precision effect...

Xuan** Zhang, Zhigang Liang, Li** Shao… in Intelligent Science and Intelligent Data E… (2012)

Chapter and Conference Paper

Adaptive Backstep** Neural Control for Switched Nonlinear Stochastic System with Time-Delay Based on Extreme Learning Machine

In this paper, for a class of switched stochastic nonlinear systems with time-varying delays, the output feedback stabilization problem is addressed based on single hidden layer feed-forward network (SLFN) and...

Yang **ao, Fei Long, Zhigang Zeng in Neural Information Processing (2012)

Chapter and Conference Paper

Damage Pattern Recognition of Refractory Materials Based on BP Neural Network

The determination of the damage mode and the quantitative description of the damage of the clustered acoustic emission (AE) signal of the refractory materials based on the BP (back propagation) Neural Network ...

Changming Liu, Zhigang Wang, Yourong Li, ** Li… in Neural Information Processing (2012)

Chapter and Conference Paper

Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine

Based on time series analysis, total accumulative displacement of landslide is divided into the trend component displacement and the periodic component displacement according to the response relation between d...

Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang in Neural Information Processing (2012)

Chapter and Conference Paper

Study on Landslide Deformation Prediction Based on Recurrent Neural Network under the Function of Rainfall

Landslide deformation prediction has significant practical value that can provide guidance for preventing the disaster and guarantee the safety of people’s life and property. In this paper, a method based on r...

Huangqiong Chen, Zhigang Zeng, Huiming Tang in Neural Information Processing (2012)

Article

A novel method of short-term load forecasting based on multiwavelet transform and multiple neural networks

This paper aims to develop a load forecasting method for short-term load forecasting based on multiwavelet transform and multiple neural networks. Firstly, a variable weight combination load forecasting model ...

Zhigang Liu, Wenfan Li, Wanlu Sun in Neural Computing and Applications (2013)

Article

Dynamic behaviors of memristor-based delayed recurrent networks

This paper investigates the problem of the existence and global exponential stability of the periodic solution of memristor-based delayed network. Based on the knowledge of memristor and recurrent neural netwo...

Shi** Wen, Zhigang Zeng, Tingwen Huang in Neural Computing and Applications (2013)

Article

Multistability of periodic delayed recurrent neural network with memristors

This paper discusses the recurrent neural network (RNN) with memristors as connection weights. Memristor is a nonlinear resistor. Memristance varies periodically with time when the sinusoidal voltage source is...

Gang Bao, Zhigang Zeng in Neural Computing and Applications (2013)