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  1. No Access

    Article

    Note on the relationship between probabilistic and fuzzy clustering

    In this short communication, based on Renyi entropy measure, a new Renyi information based clustering algorithm A is presented. Algorithm A and the well-known fuzzy clustering algorithm FCM have the same clust...

    K. F. Chung, S. T. Wang, H. B. Shen, R. Q. Zhu in Soft Computing (2004)

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    Article

    Novel Self-Organizing Takagi Sugeno Kang Fuzzy Neural Networks Based on ART-like Clustering

    The existing Self-Organizing Takagi Sugeno Kang Fuzzy Neural Networks (S-TSKfnn) structure uses virus infection clustering (VIC) method to generate fuzzy rules. In this paper, we propose a novel architecture c...

    Di Wang, Chai Quek, Geok See Ng in Neural Processing Letters (2004)

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    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)

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    Article

    Lack of Consistency of Mean Field and Variational Bayes Approximations for State Space Models

    The consistency problem of both mean field and variational Bayes estimators in the context of linear state space models is investigated. We prove that the mean field approximation is asymptotically consistent ...

    Bo Wang, D. M. Titterington in Neural Processing Letters (2004)

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    Article

    A New Multi-output Neural Model with Tunable Activation Function and its Applications

    In this paper, a new multi-output neural model with tunable activation function (TAF) and its general form are presented. It combines both traditional neural model and TAF neural model. Recursive least squares...

    Yanjun Shen, Bingwen Wang, Fangxin Chen, Liang Cheng in Neural Processing Letters (2004)

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    Chapter

    Cancer Classification with Microarray Data Using Support Vector Machines

    Microarrays (Schena et al. 1995) are also called gene chips or DNA chips. On a microarray chip, there are thousands of spots. Each spot contains the clone of a gene from one specific tissue. At the same time, ...

    Feng Chu, Lipo Wang in Bioinformatics Using Computational Intelligence Paradigms (2005)

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    Article

    A new gaussian noise filter based on interval type-2 fuzzy logic systems

    In this paper, a new selective feedback fuzzy neural network (SFNN) based on interval type-2 fuzzy logic systems is introduced by partitioning input and output spaces and based upon which a new FLS filter is f...

    S.T. Wang, F.L. Chung, Y.Y. Li, D.W. Hu, X.S. Wu in Soft Computing (2005)

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    Article

    An Incremental Learning Strategy for Support Vector Regression

    Support vector machine (SVM) provides good generalization performance but suffers from a large amount of computation. This paper presents an incremental learning strategy for support vector regression (SVR). T...

    WENJIAN WANG in Neural Processing Letters (2005)

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    Article

    Global Stability of a General Class of Discrete-Time Recurrent Neural Networks

    A general class of discrete-time recurrent neural networks (DTRNNs) is formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTRNNs with delays base...

    Zhigang Zeng, De-Shuang Huang, Zengfu Wang in Neural Processing Letters (2005)

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    Article

    Theoretically Optimal Parameter Choices for Support Vector Regression Machines with Noisy Input

    With the evidence framework, the regularized linear regression model can be explained as the corresponding MAP problem in this paper, and the general dependency relationships that the optimal parameters in thi...

    Wang Shitong, Zhu Jiagang, F. L. Chung, Lin Qing, Hu Dewen in Soft Computing (2005)

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    Article

    Modeling the Random Drift of Micro-Machined Gyroscope with Neural Network

    In this paper a new combined method was applied to model the random drift of a micro-electro-mechanical system (MEMS) gyro to enhance its performance. The gyro is used to set up a micro-inertial -measurement u...

    Wang Hao, Weifeng Tian in Neural Processing Letters (2005)

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    Article

    Preface for the special issue: soft computing in machine learning and cybernetics in the journal Soft Computing

    Zhi-Qiang Liu, Daniel So Yeung, **zhao Wang, Eric Tsang, John Lee in Soft Computing (2006)

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    Article

    A 16-classification partition of formula set F(S) in revised Kleene system \(\bar W\)

    This paper presents an exact expression of V(A) which is an unique formula A of formula set F(S) in revised Kleene system ...

    Cheng Han, Guojun Wang, Wenyan Xu in Soft Computing (2006)

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    Article

    Median graph computation for graph clustering

    In this paper, we are interested in the problem of graph clustering. We propose a new algorithm for computing the median of a set of graphs. The concept of median allows the extension of conventional algorithm...

    Adel Hlaoui, Shengrui Wang in Soft Computing (2006)

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    Article

    A new approach for estimating null value in relational database

    In general, a database system will not operate properly if it exist some null values of attributes in the system. In this paper, we propose a new approach to estimate null values in relational database, which ...

    Ching-Hsue Cheng, Jia-Wen Wang in Soft Computing (2006)

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    Article

    Experimental study on parameter choices in norm-r support vector regression machines with noisy input

    In [1], with the evidence framework, the almost inversely linear dependency between the optimal parameter r in norm-r support vector regression machine r-SVR and the Gaussian input noise is theoretically derived....

    S. Wang, J. Zhu, F. L. Chung, Hu Dewen in Soft Computing (2006)

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    Article

    Editorial for special issue on “Soft Computing for Bioinformatics and Medical Informatics”

    David Corne, Gary Fogel, Jagath C. Rajapakse, Lipo Wang in Soft Computing (2006)

  18. No Access

    Article

    Using kNN model for automatic text categorization

    An investigation is conducted on two well-known similarity-based learning approaches to text categorization: the k-nearest neighbors (kNN) classifier and the Rocchio classifier. After identifying the weakness and...

    Gongde Guo, Hui Wang, David Bell, Yaxin Bi, Kieran Greer in Soft Computing (2006)

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    Article

    Parameter by Parameter Algorithm for Multilayer Perceptrons

    This paper presents a parameter by parameter (PBP) algorithm for speeding up the training of multilayer perceptrons (MLP). This new algorithm uses an approach similar to that of the layer by layer (LBL) algori...

    Yanlai Li, David Zhang, Kuanquan Wang in Neural Processing Letters (2006)

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    Article

    Robust maximum entropy clustering algorithm with its labeling for outliers

    In this paper, a novel robust maximum entropy clustering algorithm RMEC, as the improved version of the maximum entropy algorithm MEC [2–4], is presented to overcome MEC's drawbacks: very sensitive to outliers...

    Wang Shitong, Korris F.L. Chung, Deng Zhaohong, Hu Dewen, Wu **sheng in Soft Computing (2006)

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