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Proceedings of the IEEE

Issue 9 • Sept. 1999

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Displaying Results 1 - 18 of 18
  • Scanning the issue/technology

    Publication Year: 1999, Page(s):1415 - 1422
    Cited by:  Papers (5)
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  • Introduction to "perspectives on television: the role played by the two ntsc's in preparing television service for the american public"-a modern retrospective

    Publication Year: 1999, Page(s):1668 - 1671
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  • Perspectives on television: the role played by the two ntsc's in preparing television service for the american public

    Publication Year: 1999, Page(s):1672 - 1681
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (133 KB)

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  • A day in the life of a student in the year 2012 A.D.

    Publication Year: 1999, Page(s):1682 - 1684
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  • Book Reviews

    Publication Year: 1999, Page(s):1692 - 1694
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  • Inversion of feedforward neural networks: algorithms and applications

    Publication Year: 1999, Page(s):1536 - 1549
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB)

    There are many methods for performing neural network inversion. Multi-element evolutionary inversion procedures are capable of finding numerous inversion points simultaneously. Constrained neural network inversion requires that the inversion solution belong to one or more specified constraint sets. In many cases, iterating between the neural network inversion solution and the constraint set can su... View full abstract»

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  • Adaptive fuzzy systems for multichannel signal processing

    Publication Year: 1999, Page(s):1601 - 1622
    Cited by:  Papers (72)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1088 KB)

    Processing multichannel signals using digital signal processing techniques has received increased attention lately due to its importance in applications such as multimedia technologies and telecommunications. The objective of this paper is twofold: 1) to introduce adaptive filtering techniques to the reader who is just beginning in this area and 2) to provide a review for the reader who may be wel... View full abstract»

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  • Getting small: a short history of the personal computer

    Publication Year: 1999, Page(s):1695 - 1698
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (104 KB)

    Traces the development of the personal computer (PC). The article first considers the technological underpinnings; how integrated circuits and microprocessors replaced vacuum tubes etc. The computer had been developed mainly by and for large organisations, but it was the amateurs that caused the emergence of the PC, beginning with the Altair 8800, which the user assembled himself. The interface co... View full abstract»

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  • Hybrid soft computing systems: industrial and commercial applications

    Publication Year: 1999, Page(s):1641 - 1667
    Cited by:  Papers (48)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB)

    Soft computing (SC) is an association of computing methodologies that includes as its principal members fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing. We present a collection of methods and tools that can be used to perform diagnostics, estimation, and control. These tools are a great match for real-world applications that are characterized by imprecise, uncertain... View full abstract»

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  • Evolution, neural networks, games, and intelligence

    Publication Year: 1999, Page(s):1471 - 1496
    Cited by:  Papers (81)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (592 KB)

    Mathematical games provide a framework for studying intelligent behavior in models of real-world settings or restricted domains. The obstacle comes in choosing the appropriate representation and learning algorithm. Neural networks and evolutionary algorithms provide useful means for addressing these issues. This paper describes efforts to hybridize neural and evolutionary computation to learn appr... View full abstract»

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  • Evolving artificial neural networks

    Publication Year: 1999, Page(s):1423 - 1447
    Cited by:  Papers (834)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (332 KB)

    Learning and evolution are two fundamental forms of adaptation. There has been a great interest in combining learning and evolution with artificial neural networks (ANNs) in recent years. This paper: 1) reviews different combinations between ANNs and evolutionary algorithms (EAs), including using EAs to evolve ANN connection weights, architectures, learning rules, and input features; 2) discusses ... View full abstract»

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  • Fuzzy computing for data mining

    Publication Year: 1999, Page(s):1575 - 1600
    Cited by:  Papers (67)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (576 KB)

    The study is devoted to linguistic data mining, an endeavor that exploits the concepts, constructs, and mechanisms of fuzzy set theory. The roles of information granules, information granulation, and the techniques therein are discussed in detail. Particular attention is given to the manner in which these information granules are represented as fuzzy sets and manipulated according to the main mech... View full abstract»

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  • Equivalence in knowledge representation: automata, recurrent neural networks, and dynamical fuzzy systems

    Publication Year: 1999, Page(s):1623 - 1640
    Cited by:  Papers (36)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (588 KB)

    Neurofuzzy systems-the combination of artificial neural networks with fuzzy logic-have become useful in many application domains. However, conventional neurofuzzy models usually need enhanced representation power for applications that require context and state (e.g., speech, time series prediction, control). Some of these applications can be readily modeled as finite state automata. Previously, it... View full abstract»

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  • An intelligent robotic system based on a fuzzy approach

    Publication Year: 1999, Page(s):1448 - 1470
    Cited by:  Papers (113)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (596 KB)

    This paper deals with a fuzzy-based intelligent robotic system that requires various capabilities normally associated with intelligence. It acquires skills and knowledge through interaction with a dynamic environment. Subsumption architectures, behavior-based artificial intelligence, and behavioral engineering for robotic systems have been discussed as new technologies for intelligent robotic syst... View full abstract»

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  • Modularity in neural computing

    Publication Year: 1999, Page(s):1497 - 1518
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (720 KB)

    This paper considers neural computing models for information processing in terms of collections of subnetwork modules. Two approaches to generating such networks are studied. The first approach includes networks with functionally independent subnetworks, where each subnetwork is designed to have specific functions, communication, and adaptation characteristics. The second approach is based on algo... View full abstract»

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  • A highest education in the year 2049

    Publication Year: 1999, Page(s):1685 - 1691
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (200 KB)

    In his 1962 paper “A Day in the Life of a Student in 2012”, Ponte describes the university of 2012 through the eyes of a student. Such a paper may be written to predict the future, to influence changes, or simply to highlight shortcomings and opportunities in the present. His motivation seems to be prediction, so it is best to view the paper in that light. Ponte's prophecy still has ov... View full abstract»

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  • Synergistic modeling and applications of hierarchical fuzzy neural networks

    Publication Year: 1999, Page(s):1550 - 1574
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1512 KB)

    Many common foundations exist between neural networks and fuzzy inference systems in terms of their mathematical models and system structures. This paper explores such a rich synergy and uses it to form the basis for a unifying framework under which fuzzy logic processing and neural networks may be integrated to achieve more robust information processing. It in turn leads to a family of hierarchic... View full abstract»

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  • Performance and efficiency: recent advances in supervised learning

    Publication Year: 1999, Page(s):1519 - 1535
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    This paper reviews recent advances in supervised learning with a focus on two most important issues: performance and efficiency. Performance addresses the generalization capability of a learning machine on randomly chosen samples that are not included in a training set. Efficiency deals with the complexity of a learning machine in both space and time. As these two issues are general to various lea... View full abstract»

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H. Joel Trussell
North Carolina State University