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IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

Issue 2 • Date Apr 1996

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Displaying Results 1 - 16 of 16
  • Simplification of fuzzy-neural systems using similarity analysis

    Publication Year: 1996, Page(s):344 - 354
    Cited by:  Papers (68)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (904 KB)

    This paper presents a fuzzy neural network system (FNNS) for implementing fuzzy inference systems. In the FNNS, a fuzzy similarity measure for fuzzy rules is proposed to eliminate redundant fuzzy logical rules, so that the number of rules in the resulting fuzzy inference system will be reduced. Moreover, a fuzzy similarity measure for fuzzy sets that indicates the degree to which two fuzzy sets ar... View full abstract»

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  • Constructing maps for mobile robot navigation based on ultrasonic range data

    Publication Year: 1996, Page(s):233 - 242
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1344 KB)

    This paper introduces an approach to generating environmental maps based on ultrasonic range data. By means of a learning classifier ultrasonic range data are condensed yielding abstract concepts which enable a mobile robot to discern situations. As a consequence the free-space can be partitioned into situation areas which are defined as regions wherein a specific situation can be recognized. Usin... View full abstract»

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  • A constructive approach for nonlinear system identification using multilayer perceptrons

    Publication Year: 1996, Page(s):307 - 312
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (632 KB)

    This paper combines a conventional method of multivariable system identification with a dynamic multi-layer perceptron (MLP) to achieve a constructive method of nonlinear system identification. The class of nonlinear systems is assumed to operate nominally around an equilibrium point in the neighborhood of which a linearized model exists to represent the system, although normal operation is not li... View full abstract»

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  • A dynamic gesture recognition system for the Korean sign language (KSL)

    Publication Year: 1996, Page(s):354 - 359
    Cited by:  Papers (38)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (516 KB)

    The sign language is a method of communication for the deaf-mute. Articulated gestures and postures of hands and fingers are commonly used for the sign language. This paper presents a system which recognizes the Korean sign language (KSL) and translates into a normal Korean text. A pair of data-gloves are used as the sensing device for detecting motions of hands and fingers. For efficient recognit... View full abstract»

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  • Visual information processing in primate cone pathways. I. A model

    Publication Year: 1996, Page(s):259 - 274
    Cited by:  Papers (22)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1988 KB)

    At the retinal level, the strategies utilized by biological visual systems allow them to outperform machine vision systems, serving to motivate the design of electronic or “smart” sensors based on similar principles. Design of such sensors in silicon first requires a model of retinal information processing which captures the essential features exhibited by biological retinas. In this p... View full abstract»

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  • The interpretation of fuzziness

    Publication Year: 1996, Page(s):321 - 326
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (756 KB)

    By analyzing related issues in psychology and linguistics, two basic types of fuzziness can be attributed to similarity and relativity, respectively. In both cases, it is possible to interpret grade of membership as the proportion of positive evidence, so as to treat fuzziness and randomness uniformly View full abstract»

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  • Matrix formulation of fuzzy rule-based systems

    Publication Year: 1996, Page(s):332 - 340
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (780 KB)

    In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks. When converting a rule-based system to the proposed matrix formulation, only three sets of linear/nonlinear equations are required instead of set of rules and ... View full abstract»

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  • Nonparametric learning of decision regions via the genetic algorithm

    Publication Year: 1996, Page(s):313 - 321
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (860 KB)

    A method for nonparametric (distribution-free) learning of complex decision regions in n-dimensional pattern space is introduced. Arbitrary n-dimensional decision regions are approximated by the union of a finite number of basic shapes. The primary examples introduced in this paper are parallelepipeds and ellipsoids. By explicitly parameterizing these shapes, the decision region can be determined ... View full abstract»

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  • Group updates and multiscaling: an efficient neural network approach to combinatorial optimization

    Publication Year: 1996, Page(s):222 - 232
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1164 KB)

    A multiscale method is described in the context of binary Hopfield-type neural networks. The appropriateness of the proposed technique for solving several classes of optimization problems is established by means of the notion of group update which is introduced here and investigated in relation to the properties of multiscaling. The method has been tested in the solution of partitioning and coveri... View full abstract»

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  • A genetic algorithm with disruptive selection

    Publication Year: 1996, Page(s):299 - 307
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (968 KB)

    Genetic algorithms are a class of adaptive search techniques based on the principles of population genetics. The metaphor underlying genetic algorithms is that of natural evolution. Applying the “survival-of-the-fittest” principle, traditional genetic algorithms allocate more trials to above-average schemata. However, increasing the sampling rate of schemata that are above average does... View full abstract»

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  • Hybrid methods using genetic algorithms for global optimization

    Publication Year: 1996, Page(s):243 - 258
    Cited by:  Papers (129)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1648 KB)

    This paper discusses the trade-off between accuracy, reliability and computing time in global optimization. Particular compromises provided by traditional methods (Quasi-Newton and Nelder-Mead's simplex methods) and genetic algorithms are addressed and illustrated by a particular application in the field of nonlinear system identification. Subsequently, new hybrid methods are designed, combining p... View full abstract»

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  • Learning fuzzy inference systems using an adaptive membership function scheme

    Publication Year: 1996, Page(s):326 - 331
    Cited by:  Papers (25)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (540 KB)

    An adaptive membership function scheme for general additive fuzzy systems is proposed in this paper. The proposed scheme can adapt a proper membership function for any nonlinear input-output mapping, based upon a minimum number of rules and an initial approximate membership function. This parameter adjustment procedure is performed by computing the error between the actual and the desired decision... View full abstract»

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  • Neural network learning of robot arm impedance in operational space

    Publication Year: 1996, Page(s):290 - 298
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (820 KB)

    Impedance control is one of the most effective control methods for the manipulators in contact with their environments. The characteristics of force and motion control, however, is determined by a desired impedance parameter of a manipulator's end-effector that should be carefully designed according to a given task and an environment. The present paper proposes a new method to regulate the impedan... View full abstract»

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  • On mean type aggregation

    Publication Year: 1996, Page(s):209 - 221
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1068 KB)

    We introduce and define the concept of mean aggregation of a collection of n numbers. We point out that the lack of associativity of this operation compounds the problem of the extending mean of n numbers to n+1 numbers. The closely related concepts of self identity and the centering property are introduced as one imperative for extending mean aggregation operators. The problem of weighted mean ag... View full abstract»

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  • Hierarchical reduction and partition of hypergraph

    Publication Year: 1996, Page(s):340 - 344
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB)

    In this paper, a hierarchical reduction method of hypergraphs is proposed. A macro-vertex in a reduced hypergraph corresponds to an edge of the original hypergraph, and thus a reduced hypergraph can provide a partition of a system. The reduction is realized by the iterations and the sequence of hierarchical reduction gives a sequence of hierarchical partitions. The proposed method allows to reduce... View full abstract»

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  • Visual information processing in primate cone pathways. II. Experiments

    Publication Year: 1996, Page(s):275 - 289
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2360 KB)

    For pt.I. see ibid., p.259-74. This paper presents the results of experiments performed to validate the computer retina model presented in part I. Experiments commonly performed by electrophysiologists on biological retinas are simulated and the computer retina outputs compared with published recordings of cells in biological (principally primate) retinas. Experiments with more complex stimuli fur... View full abstract»

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Aims & Scope

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics focuses on cybernetics, including communication and control across humans, machines and organizations at the structural or neural level

 

This Transaction ceased production in 2012. The current retitled publication is IEEE Transactions on Cybernetics.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College