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Journal of Systems Engineering and Electronics

Issue 2 • Date June 1995

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Displaying Results 1 - 12 of 12
  • [Front cover]

    Publication Year: 1995, Page(s): c1
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    Freely Available from IEEE
  • Copyright page

    Publication Year: 1995, Page(s): 1
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (991 KB)

    The journal of Systems Engineering and Electronics is published in Chinese and in English. The Chinese edition (ISSN 1001-506X, first issue in 1979) comes out monthly with English abstracts, and the English edition (ISSN 1004-4132, first issue in 1990) comes out quarterly. Both are high-tech oriented. View full abstract»

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  • Editorial: Artificial neural networks theory and applications

    Publication Year: 1995, Page(s): 1
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  • Contents

    Publication Year: 1995, Page(s): 1
    IEEE is not the copyright holder of this material | PDF file iconPDF (128 KB)
    Freely Available from IEEE
  • Neural Nets: Another paradigm for decision support

    Publication Year: 1995, Page(s):2 - 8
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (806 KB)

    The paper presents an important aspect of Neural Nets application, i. e., their usefulness for decision support. The essential feature of the neural net approach to decision making is that it is a black-box approach, which means one does not try to model the underlying processes, but only looks for a tuning of the parameters of the neural net such that the black-box mimics the sensible behavior. T... View full abstract»

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  • Using genetic algorithms to improve the search of the weight space in cascade-correlation neural network

    Publication Year: 1995, Page(s):9 - 21
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1377 KB)

    In this paper, we use the global search characteristics of genetic algorithms to help search the weight space of the neurons in the cascade-correlation architecture. The cascade-correlation learning architecture is a technique of training and building neural networks that starts with a simple network of neurons and adds additional neurons as they are needed to suit a particular problem. In our app... View full abstract»

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  • Complex function approximation based on multi-ANN approach

    Publication Year: 1995, Page(s):22 - 31
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1560 KB)

    This paper presents a multi-ANN approximation approach to approximate complex non-linear function. Comparing with single-ANN methods the proposed approach improves and increases the approximation and generalization ability, and adaptability greatly in learning processes of networks. The simulation results have been shown that the method can be applied to the modeling and identification of complex ... View full abstract»

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  • Building up multi-layered perceptrons as classifier system for decision support

    Publication Year: 1995, Page(s):32 - 39
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1063 KB)

    This paper focuses on some application issues in multi-layered perceptrons researches. The following problem areas are discussed: (1) the classification capability of multi-layered perceptronsi (2) the self-configuration algorithm for facilitating the design of the neural nets' structure; and, finally (3) the application of the fast BP algorithm to speed up the learning procedure. Some experimenta... View full abstract»

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  • A combination method of SVD and neuro-controller for identifying uncertain systems

    Publication Year: 1995, Page(s):40 - 51
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1186 KB)

    A combination method of Singular Value Decomposition (SVD) and Neuro-Controller is presented in this paper. For a system with unknown structure and uncertain parameters, a SVD and backward linear prediction (BLP) method (SVD-BLP method) is used to determine the order of the system in a noisy environment. Then a neuro-controller is applied to dynamically identify is the uncertain parameters of the ... View full abstract»

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  • Nerual network expert system and their application to forecasting water invasion of colliery

    Publication Year: 1995, Page(s):52 - 57
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (772 KB)

    In this paper, we propose a formal definition, general structure and work principle of the Neural Network Expert System (NNES) based on joint-type knowledge representation, and show a practical application example using NNES for forecasting the water invasion of coal mine. View full abstract»

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  • Artificial neural network for combining forecasts

    Publication Year: 1995, Page(s):58 - 64
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (878 KB)

    This paper proposes artificial neural networks (ANN) as a tool for nonlinear combination of forecasts. In this study, three forecasting models are used for individual forecasts, and then two linear combining methods are used to compare with the ANN combining method. The comparative experiment using real-world data shows that the prediction by the ANN method outperforms those by linear combining me... View full abstract»

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  • Multiple criteria games — Theory and applications

    Publication Year: 1995, Page(s):65 - 81
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (2345 KB)

    After a reivew of basic concepts in multiple criteria optimization, the paper presents a characterization of noncooperative equilibria in multiple criteria games in normal form either by weighted sums or by order-consistent achievement scalarizing functions, for convex and nonconvex cases. Possible applications of multiple criteria games and such characterizations of their equilibria are indicated... View full abstract»

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Aims & Scope

Journal of Systems Engineering and Electronics reports the latest developments and achievements in both theoretical and practical aspects of systems engineering, electronics and related research areas.

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Editor-in-Chief
Professor Rong Shi
Journal of Systems Engineering and Electronics