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    Chapter and Conference Paper

    Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays

    For the convenience of computer simulation, the discrete-time systems in practice are often considered. In this paper, Discrete-time cellular neural networks (DTCNNs) are formulated and studied in a regime whe...

    Zhigang Zeng, Boshan Chen, Zengfu Wang in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    Blind Extraction of Singularly Mixed Source Signals

    In this paper, a neural network model and its associate learning rule are developed for sequential blind extraction in the case that the number of observable mixed signals is less than the one of sources. This...

    Zhigang Zeng, Chao** Fu in Advances in Natural Computation (2005)

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    Chapter and Conference Paper

    Gait Recognition Using Independent Component Analysis

    This paper presents a new method for automatic gait recognition using independent component analysis (ICA). Firstly, a simple background subtraction algorithm is introduced to segment the moving figures accura...

    Jiwen Lu, Erhu Zhang, Zhigang Zhang, Yanxue Xue in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    Application of Neural Network to Interactive Physical Programming

    A neural network based interactive physical programming approach is proposed in this paper. The approximate model of Pareto surface at a given Pareto design is developed based on neural networks, and a map fro...

    Hongzhong Huang, Zhigang Tian in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates

    In this paper, discrete-time cellular neural networks with one-dimensional space invariant are designed to associative memories. The obtained results enable both heteroassociative and autoassociative memories ...

    Zhigang Zeng, Jun Wang in Advances in Neural Networks - ISNN 2006 (2006)

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    Chapter and Conference Paper

    Fault Data Compression of Power System with Wavelet Neural Network Based on Wavelet Entropy

    Through the analysis of function approximation with wavelet transformation, an adaptive wavelet neural network is introduced in the paper, which is applied in data compression of fault data in power system. In...

    Zhigang Liu, Dabo Zhang in Advances in Neural Networks - ISNN 2006 (2006)

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    Chapter and Conference Paper

    Robust Control for a Class of Uncertain Neural Networks with Time-Delays on States and Inputs

    A class of uncertain neural networks with time-delays on states and inputs is studied. The theoretical analysis herein guarantees that the neural networks are robust stable. In addition, a state feedback contr...

    Qiuxiang Deng, Zhigang Zeng in Intelligent Computing (2006)

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    Chapter and Conference Paper

    Applying Bayesian Approach to Decision Tree

    Applying Bayesian approach to decision tree (DT) model, and then a Bayesian-inference-based decision tree (BDT) model is proposed. For BDT we assign prior to the model parameters. Together with observed sample...

    Yatong Zhou, Taiyi Zhang, Zhigang Chen in Computational Intelligence (2006)

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    Chapter and Conference Paper

    Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks

    In this paper, global exponential stability in Lagrange sense is further studied for continuous recurrent neural network with three different activation functions. According to the parameters of the system its...

    **aoxin Liao, Zhigang Zeng in Advances in Neural Networks - ISNN 2006 (2006)

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    Chapter and Conference Paper

    Analysis of Global Convergence and Learning Parameters of the Back-Propagation Algorithm for Quadratic Functions

    This paper analyzes global convergence and learning parameters of the back-propagation algorithm for quadratic functions. Some global convergence conditions of the steepest descent algorithm are obtained by di...

    Zhigang Zeng in Advanced Intelligent Computing Theories an… (2007)

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    Chapter and Conference Paper

    Implementation of Multi-valued Logic Based on Bi-threshold Neural Networks

    The implementation of multi-valued logic with a three layers forward neural network is proposed. The hidden layer is constituted by bi-threshold neurons compared with traditional simple threshold neurons. Acco...

    Qiuxiang Deng, Zhigang Zeng in Advances in Neural Networks – ISNN 2007 (2007)

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    Chapter and Conference Paper

    Quantum Error-Correction Codes Based on Multilevel Constructions of Hadamard Matrices

    To achieve quantum error-correction codes with good parameters, the recursive constructions of Hadamard matrices with even length are proposed with special characters. The generators of the stabilizer of the d...

    Dazu Huang, Zhigang Chen, Ying Guo in Advanced Intelligent Computing Theories an… (2007)

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    Chapter and Conference Paper

    A Sliding Singular Spectrum Entropy Method and Its Application to Gear Fault Diagnosis

    Entropy changes with the variation of the system status. It has been widely used as a standard for the determination of system status, quantity of system complexity and system classification. Based on the sing...

    Yong Lu, Yourong Li, Han **ao, Zhigang Wang in Advanced Intelligent Computing Theories an… (2008)

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    Chapter and Conference Paper

    Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics

    In this paper, the switching dynamics of recurrent neural networks are studied. Sufficient conditions on global exponential stability with an arbitrary switching law or a dwell time switching law and the estim...

    Zhigang Zeng, Jun Wang, Tingwen Huang in Artificial Neural Networks – ICANN 2009 (2009)

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    Chapter and Conference Paper

    Robust Stability of Fuzzy Cohen-Grossberg Neural Networks with Delays

    In the paper, a new exponentially robust stability criterion for interval fuzzy Cohen-Grossberg type neural networks with time- varying delays is obtained by using Lyapunov-Krasovskii functional with the diffe...

    Tingwen Huang, Zhigang Zeng in Neural Information Processing (2009)

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    Chapter and Conference Paper

    A New Short-Term Load Forecasting Model of Power System Based on HHT and ANN

    Aiming to the disadvantages of short-term load forecasting with HHT such as mode mixing and random component, a new short-term load forecasting model based on HHT and ANN is proposed. The first order differenc...

    Zhigang Liu, Weili Bai, Gang Chen in Advances in Neural Networks - ISNN 2010 (2010)

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    Chapter and Conference Paper

    A Parallel Wavelet Algorithm Based on Multi-core System and Its Application in the Massive Data Compression

    In this paper we discuss the issue relevant to the parallel implementation of wavelet and wavelet packet on the single PC with multi-core system. The massive data compression has to manage large size of data w...

    **aofan Lu, Zhigang Liu, Zhiwei Han, Feng Wu in Advances in Neural Networks – ISNN 2011 (2011)

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    Chapter and Conference Paper

    Power System Load Forecasting Based on EEMD and ANN

    In order to fully mine the characteristics of load data and improve the accuracy of power system load forecasting, a load forecasting model based on Ensemble Empirical Mode Decomposition (EEMD) and Artificial ...

    Wanlu Sun, Zhigang Liu, Wenfan Li in Advances in Neural Networks – ISNN 2011 (2011)

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    Book and Conference Proceedings

    Neural Information Processing

    19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III

    Tingwen Huang, Zhigang Zeng, Chuandong Li in Lecture Notes in Computer Science (2012)

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    Book and Conference Proceedings

    Neural Information Processing

    19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I

    Tingwen Huang, Zhigang Zeng, Chuandong Li in Lecture Notes in Computer Science (2012)

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