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Proceedings of the IEEE

Issue 9 • Sept. 2001

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Displaying Results 1 - 9 of 9
  • Special issue on industrial innovations using soft computing

    Publication Year: 2001, Page(s):1239 - 1241
    Cited by:  Papers (1)
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    Freely Available from IEEE
  • Scanning the technology: Foreward

    Publication Year: 2001, Page(s): 1242
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (9 KB) | HTML iconHTML

    Publication of the Special Issue of the Proceedings of the IEEE - an issue dedicated to "Industrial Innovations Using Soft Computing," is an important milestone in the evolution of soft computing (SC). It is a symbol of recognition that a decade after its debut, SC is emerging as a coherent body of concepts and techniques that has wide-ranging applications to the conception, design, and utilizatio... View full abstract»

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  • Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation

    Publication Year: 2001, Page(s):1275 - 1296
    Cited by:  Papers (501)  |  Patents (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB) | HTML iconHTML

    We survey the research on interactive evolutionary computation (IEC). The IEC is an EC that optimizes systems based on subjective human evaluation. The definition and features of the IEC are first described and then followed by an overview of the IEC research. The overview primarily consists of application research and interface research. In this survey the IEC application fields include graphic a... View full abstract»

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  • Fusion of fuzzy/neuro/evolutionary computing for knowledge acquisition

    Publication Year: 2001, Page(s):1266 - 1274
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    Soft computing is a consortium of methodologies, which deal with various kinds of inaccuracies and uncertainties contained in real-world problems. In this paper soft computing is discussed from the viewpoint of a combination of characteristic features unique to fuzzy, neural, and evolutionary computing. This paper is intended to describe particularly the knowledge acquisition from inaccurate and u... View full abstract»

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  • Industrial applications of soft computing: a review

    Publication Year: 2001, Page(s):1243 - 1265
    Cited by:  Papers (75)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (504 KB) | HTML iconHTML

    Fuzzy logic, neural networks, and evolutionary computation are the core methodologies of soft computing (SC). SC is causing a paradigm shift in engineering and science fields since it can solve problems that have not been able to be solved by traditional analytic methods. In addition, SC yields rich knowledge representation, flexible knowledge acquisition, and flexible knowledge processing, which ... View full abstract»

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  • Recording the image

    Publication Year: 2001, Page(s):1347 - 1348
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    John Logie Baird, the Scottish television pioneer, like many of the early television experimenters, employed a mechanical arrangement in his cameras to scan the scene. With the advent of much faster electronic scanning systems, Baird's relatively slow mechanical arrangements were relegated to the history books. It is easy for us now to look back on Baird as a visionary who saw what television migh... View full abstract»

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  • Evolutionary learning, reinforcement learning, and fuzzy rules for knowledge acquisition in agent-based systems

    Publication Year: 2001, Page(s):1334 - 1346
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (192 KB) | HTML iconHTML

    The behavior of agents in complex and dynamic environments cannot be programmed a priori, but needs to self-adapt to the specific situations. We present some approaches based on evolutionary reinforcement learning algorithms, which are able to evolve in real-time fuzzy models that control behaviors. We discuss an application where an agent learns how to adapt its behavior to the different behavior... View full abstract»

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  • Evolutionary algorithms for fuzzy control system design

    Publication Year: 2001, Page(s):1318 - 1333
    Cited by:  Papers (63)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB) | HTML iconHTML

    This paper provides an overview on evolutionary learning methods for the automated design and optimization of fuzzy logic controllers. In a genetic tuning process, an evolutionary algorithm adjusts the membership functions or scaling factors of a predefined fuzzy controller based on a performance index that specifies the desired control behavior. Genetic learning processes deal with the automated ... View full abstract»

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  • Signal processing and pattern recognition with soft computing

    Publication Year: 2001, Page(s):1297 - 1317
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB) | HTML iconHTML

    We describe the overall role of soft computing (SC) in signal processing and pattern recognition (SPPR) with specific applications to biomedical engineering, geoscience for mining and civil engineering human interfaces, and image processing. Detection of characteristic points in an electrocardiogram to implement an advanced ECG analyzer is presented which is carried out using both conventional SPP... View full abstract»

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