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    Article

    A neural network technique of generating empirical bivariate distribution functions

    The commonly used technique of generating empirical univariate cumulative distribution functions is extended to bivariate cases. It is implemented by using the monotonic back-propagation leastmean square neura...

    Shouhong Wang in Neural Processing Letters (1995)

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    Article

    Soft computing and fuzzy logic

     What is soft computing? What is fuzzy computing? What is the relationship between them? This paper intends to provide clear answers to these questions. We focus on exploring the notions of the fuzzy coordinat...

    Peizhuang Wang, Shaohua Tan in Soft Computing (1997)

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    Article

    Representation-burden Conservation Network Applied to Learning VQ (NPL270)

    A self-creating network effective in learning vector quantization, called RCN (Representation-burden Conservation Network) is developed. Each neuron in RCN is characterized by a measure of representation-burde...

    Juang-Hua Wang, Chih-** Hsiao in Neural Processing Letters (1997)

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    Article

    Improved Representation-burden Conservation Network for Learning Non-stationary VQ

    In a recent publication [1], it was shown that a biologically plausible RCN (Representation-burden Conservation Network) in which conservation is achieved by bounding the summed representation-burden of all ne...

    Jung-Hua Wang, Wei-Der Sun in Neural Processing Letters (1998)

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    Article

    A Chaotic Annealing Neural Network with Gain Sharpening and Its Application to the 0/1 Knapsack Problem

    In this article we present a modified transiently chaotic neural network model and then use it to solve the 0/1 knapsack problem. During the chaotic searching the gain of the neurons is gradually sharpened, th...

    Baoyun Wang, Heng Dong, Zhenya He in Neural Processing Letters (1999)

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    Article

    On the Characteristics of Growing Cell Structures (GCS) Neural Network

    In this paper, a self-develo** neural network model, namely the Growing Cell Structures (GCS) is characterized. In GCS each node (or cell) is associated with a local resource counter τ (t). We show that GCS ...

    Jung-Hua Wang, Wei-Der Sun in Neural Processing Letters (1999)

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    Article

    A Novel Self-Creating Neural Network for Learning Vector Quantization

    This paper presents a novel self-creating neural network scheme which employs two resource counters to record network learning activity. The proposed scheme not only achieves the biologically plausible learnin...

    Jung-Hua Wang, Chung-Yun Peng in Neural Processing Letters (2000)

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    Article

    On the Internal Representations of Product Units

    This paper explores internal representation power of product units [1] that act as the functional nodes in the hidden layer of a multi-layer feedforward network. Interesting properties from using binary input ...

    Jung-Hua Wang, Yi-Wei Yu, Jia-Horng Tsai in Neural Processing Letters (2000)

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    Article

    Polyhedral representation of fuzzy linear bases

     In [15], we introduced the concepts of fuzzy bases, fuzzy linear interpolation and fuzzy polygon of four-component fuzzy linear bases. In [16], these concepts were used in the maximal profile of the set of po...

    P. Z. Wang, R. Östermark, R. Alex, S. H. Tan in Soft Computing (2001)

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    Article

    A palmer-based continuous fuzzy flexible flow-shop scheduling algorithm

     Flexible flow shops can be thought of as generalizations of simple flow shops. In the past, the processing time for each job was usually assumed to be known exactly, but in many real-world applications, proce...

    T.-P. Hong, T.-T. Wang, S.-L. Wang in Soft Computing (2001)

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    Article

    Fuzzy generalization of the counter-propagation neural network: a family of soft competitive basis function neural networks

     Based on combining neural network (NN) with fuzzy logical system (FLS), a new family of three-layer feedforward networks, called soft-competition basis function neural networks (SCBFs), is proposed under the ...

    Z. Zhang, N. Zheng, T. Wang in Soft Computing (2001)

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    Article

    A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlinear processes

     Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial processes are nonlinear and m...

    Y. Frayman, L. Wang in Soft Computing (2002)

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    Article

    Mining linguistic browsing patterns in the world wide web

     World-wide-web applications have grown very rapidly and have made a significant impact on computer systems. Among them, web browsing for useful information may be most commonly seen. Due to its tremendous amo...

    T.-P. Hong, K.-Y. Lin, S.-L. Wang in Soft Computing (2002)

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    Article

    Content-based audio classification and retrieval using a fuzzy logic system: towards multimedia search engines

     In recent years, available audio corpora are rapidly increasing from fast growing Internet and digital libraries. How to classify and retrieve sound files relevant to the user's interest from large databases ...

    M. Liu, C. Wan, L. Wang in Soft Computing (2002)

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    Article

    Fuzzy relation equations (I): the general and specialized solving algorithms

     In this article, we develop a new method and an algorithm to solve a system of fuzzy relation equations. We first introduce a solution-base-matrix and then give a tractable mathematical logic representation o...

    L. Chen, P. P. Wang in Soft Computing (2002)

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    Article

    Efficient Learning in Adaptive Processing of Data Structures

    Many researchers have explored the use of neural network models for the adaptive processing of data structures. The learning formulation for one of the models is known as the Backpropagation Through Structure ...

    Siu-Yeung Cho, Zheru Chi, Zhiyong Wang, Wan-Chi Siu in Neural Processing Letters (2003)

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    Article

    Fuzzy system and CMAC network with B-spline membership/basis functions are smooth approximators

    Due to their universal approximation, fuzzy system with B-spline membership functions and CMAC neural network with B-spline basis functions have been extensively used in control. In many practical applications...

    S. Wang, H. Lu in Soft Computing (2003)

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    Article

    A fuzzy-rough approach for the maintenance of distributed case-based reasoning systems

    Case-based reasoning (CBR) means reasoning from prior examples and it has considerable potential for building intelligent assistant system for the World Wide Web. In order to develop successful Web-based CBR s...

    G. Cao, S. C. K. Shiu, X. Wang in Soft Computing (2003)

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    Article

    A General Learning Scheme for CMAC-based Controller

    Cerebellar model articulation controller (CMAC) is a powerful tool for nonlinear control applications. However, it yet lacks an adequate learning scheme. It is found that, with the existing learning scheme, if...

    Zhiming Jiang, Shengwei Wang in Neural Processing Letters (2003)

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    Chapter

    View Planning via Maximal C-space Entropy Reduction

    We introduced the concept of C-space entropy recently in [1–3] as a measure of knowledge of C-space for sensor-based path planning and exploration for general robot-sensor systems. The robot plans the next sen...

    Pengpeng Wang, Kamal Gupta in Algorithmic Foundations of Robotics V (2004)

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