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  1. No Access

    Article

    A New Fuzzy Support Vector Machine Based on the Weighted Margin

    The ideas from fuzzy neural networks and support vector machine (SVM) are incorporated to make SVM classifiers perform better. The influence of the samples with high uncertainty can be decreased by employing t...

    Qing Tao, Jue Wang in Neural Processing Letters (2004)

  2. No Access

    Article

    Exponential \(p\) -Synchronization of Non-autonomous Cohen–Grossberg Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control

    The problem of \(p\) p ...

    Jun Mei, Minghui Jiang, Bin Wang, Qing Liu, Wangming Xu… in Neural Processing Letters (2014)

  3. No Access

    Article

    Homogenous Spiking Neural P Systems with Inhibitory Synapses

    Spiking neural P systems with inhibitory synapses (ISN P systems, for short) are a class of discrete neural-like computing models, which are inspired by the way of biological neurons storing and processing inf...

    Tao Song, Xun Wang in Neural Processing Letters (2015)

  4. No Access

    Article

    Non-negative Matrix Factorization with Pairwise Constraints and Graph Laplacian

    Non-negative matrix factorization (NMF) is a very effective method for high dimensional data analysis, which has been widely used in information retrieval, computer vision, and pattern recognition. NMF aims to...

    Yang-Cheng He, Hong-Tao Lu, Lei Huang, **ao-Hua Shi in Neural Processing Letters (2015)

  5. No Access

    Article

    Asynchronous Spiking Neural P Systems with Anti-Spikes

    Spiking neural P systems with anti-spikes (ASN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes and inhibitory spikes. AS...

    Tao Song, **angrong Liu, **angxiang Zeng in Neural Processing Letters (2015)

  6. No Access

    Article

    Synchronization Control of Coupled Memristor-Based Neural Networks with Mixed Delays and Stochastic Perturbations

    This paper investigates the synchronization control problem of coupled memristor-based neural networks (CMNNs) with mixed delays and stochastic perturbations. By utilizing simple feedback controllers, some nov...

    Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang, Tao Li in Neural Processing Letters (2018)

  7. No Access

    Article

    Local Bifurcation Analysis of a Fractional-Order Dynamic Model of Genetic Regulatory Networks with Delays

    In this paper, we propose a delayed fractional-order gene regulatory network model. Firstly, the sum of delays is chosen as the bifurcation parameter, and the conditions of the existence for Hopf bifurcations ...

    Qingshan Sun, Min **ao, Binbin Tao in Neural Processing Letters (2018)

  8. No Access

    Article

    Robust \(l_{2,1}\) Norm-Based Sparse Dictionary Coding Regularization of Homogenous and Heterogenous Graph Embeddings for Image Classifications

    In the field of manifold learning, Marginal Fisher Analysis (MFA), Discriminant Neighborhood Embedding (DNE) and Double Adjacency Graph-based DNE (DAG-DNE) construct the graph embedding for homogeneous and het...

    Yuting Tao, Jian Yang, Wenming Gui in Neural Processing Letters (2018)

  9. No Access

    Article

    Pruning the Ensemble of ANN Based on Decision Tree Induction

    Ensemble learning is a powerful approach for achieving more accurate predictions compared with single classifier. However, this powerful classification ability is achieved at the expense of heavy storage requi...

    Sha Ding, Zhi Chen, Shi-yuan Zhao, Tao Lin in Neural Processing Letters (2018)

  10. No Access

    Article

    A New Virtual Samples-Based CRC Method for Face Recognition

    The research of automatic face recognition has attracted much attention from many researchers because of human faces’ uniqueness and usability. However, in the real-world applications, the acquisition equipmen...

    Yali Peng, Lingjun Li, Shigang Liu, Tao Lei, Jie Wu in Neural Processing Letters (2018)

  11. No Access

    Article

    A Parallel Image Skeletonizing Method Using Spiking Neural P Systems with Weights

    Spiking neural P systems (namely SN P systems, for short) are bio-inspired neural-like computing models under the framework of membrane computing, which are also known as a new candidate of the third generatio...

    Tao Song, Shanchen Pang, Shaohua Hao, Alfonso Rodríguez-Patón… in Neural Processing Letters (2019)

  12. No Access

    Article

    Bifurcation Analysis of Delayed Complex-Valued Neural Network with Diffusions

    In this paper, a class of delayed complex-valued neural network with diffusion under Dirichlet boundary conditions is considered. By using the properties of the Laplacian operator and separating the neural net...

    Tao Dong, Jiaqi Bai, Lei Yang in Neural Processing Letters (2019)

  13. No Access

    Article

    Dynamic Optimization of Neuron Systems with Leakage Delay and Distributed Delay via Hybrid Control

    This paper proposes a neuron system with both leakage delay and distributed delay. Typical dynamics including the local stability and Hopf bifurcation analysis are investigated. Then, a hybrid controller is de...

    Shuo Shi, Min **ao, Binbin Tao, **xing Lin, Zunshui Cheng in Neural Processing Letters (2019)

  14. No Access

    Article

    Online Learning for Time Series Prediction of AR Model with Missing Data

    Recently online learning algorithm is applied to time series prediction with missing data without the strict assumption on the noise terms. The existing algorithm only uses the observed data to predict time se...

    Haimin Yang, Zhisong Pan, Qing Tao in Neural Processing Letters (2019)

  15. No Access

    Article

    Hessian Regularized Distance Metric Learning for People Re-Identification

    Distance metric learning is a vital issue in people re-identification. Although numerous algorithms have been proposed, it is still challenging especially when the labeled information is few. Manifold regulari...

    Guanhua Feng, Weifeng Liu, Dapeng Tao, Yicong Zhou in Neural Processing Letters (2019)

  16. No Access

    Article

    Domain Adaptation with Few Labeled Source Samples by Graph Regularization

    Domain Adaptation aims at utilizing source data to establish an exact model for a related but different target domain. In recent years, many effective models have been proposed to propagate label information a...

    **feng Li, Weifeng Liu, Yicong Zhou, Dapeng Tao, Liqiang Nie in Neural Processing Letters (2020)

  17. No Access

    Article

    A Feature Selection Algorithm Based on Equal Interval Division and Minimal-Redundancy–Maximal-Relevance

    Minimal-redundancy–maximal-relevance (mRMR) algorithm is a typical feature selection algorithm. To select the feature which has minimal redundancy with the selected features and maximal relevance with the clas...

    **angyuan Gu, Jichang Guo, Lijun **ao, Tao Ming, Chongyi Li in Neural Processing Letters (2020)

  18. Article

    Feature-Based Learning in Drug Prescription System for Medical Clinics

    Rapid increases in data volume and variety pose a challenge to safe drug prescription for health professionals like doctors and dentists. This is addressed by our study, which presents innovative approaches in...

    Wee Pheng Goh, **aohui Tao, Ji Zhang, Jianming Yong in Neural Processing Letters (2020)

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    Article

    Output Layer Multiplication for Class Imbalance Problem in Convolutional Neural Networks

    Convolutional neural networks (CNNs) have demonstrated remarkable performance in the field of computer vision. However, they are prone to suffer from the class imbalance problem, in which the number of some cl...

    Zhao Yang, Yuanxin Zhu, Tie Liu, Sai Zhao, Yunyan Wang… in Neural Processing Letters (2020)

  20. No Access

    Article

    Event-Based Projective Synchronization for Different Dimensional Complex Dynamical Networks with Unknown Dynamics by Using Data-Driven Scheme

    In this paper, the projective synchronization problem for different dimensional complex networks (CNs) with unknown dynamics is investigated. First, by selecting a projective matrix, the error system is obtain...

    Wenjie Hu, Luli Gao, Tao Dong in Neural Processing Letters (2021)

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