By Topic

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

Issue 6 • Date Dec. 1999

Filter Results

Displaying Results 1 - 25 of 25
  • Author index

    Publication Year: 1999, Page(s):1 - 4
    Request permission for commercial reuse | PDF file iconPDF (217 KB)
    Freely Available from IEEE
  • Subject index

    Publication Year: 1999, Page(s):4 - 10
    Request permission for commercial reuse | PDF file iconPDF (197 KB)
    Freely Available from IEEE
  • Adaptive classifier integration for robust pattern recognition

    Publication Year: 1999, Page(s):902 - 907
    Cited by:  Papers (27)  |  Patents (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (144 KB)

    The integration of multiple classifiers promises higher classification accuracy and robustness than can be obtained with a single classifier. This paper proposes a new adaptive technique for classifier integration based on a linear combination model. The proposed technique is shown to exhibit robustness to a mismatch between test and training conditions. It often outperforms the most accurate of t... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Solving constraint satisfaction and optimization problems by a neuro-fuzzy approach

    Publication Year: 1999, Page(s):895 - 902
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB)

    The solution of constrained satisfaction and constrained optimization problems using a Hopfield model requires determination of the values of a certain number of coefficients linked to the surrounding conditions of the problem. It is quite difficult to determine these values, mainly because a heuristic search is necessary. This is not only time-consuming but may lead to solutions that are far from... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Clustering of symbolic objects using gravitational approach

    Publication Year: 1999, Page(s):888 - 894
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (220 KB)

    Most of the techniques used in the literature in clustering symbolic data are based on the hierarchical methodology, which uses the concept of agglomeration or division as the core of the algorithm. The main contribution of this paper is to formulate a clustering algorithm for symbolic objects based on the gravitational approach. The proposed procedure is based on the physical phenomenon in which ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robust radial basis function neural networks

    Publication Year: 1999, Page(s):674 - 685
    Cited by:  Papers (61)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB)

    Function approximation has been found in many applications. The radial basis function (RBF) network is one approach which has shown a great promise in this sort of problems because of its faster learning capacity. A traditional RBF network takes Gaussian functions as its basis functions and adopts the least-squares criterion as the objective function, However, it still suffers from two major probl... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Designing syntactic pattern classifiers using vector quantization and parametric string editing

    Publication Year: 1999, Page(s):881 - 888
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB)

    We consider a fundamental inference problem in syntactic pattern recognition (PR). We assume that the system has a dictionary which is a collection of all the ideal representations of the objects in question. To recognize a noisy sample, the system compares it with every element in the dictionary based on a nearest-neighbor philosophy, using three standard edit operations: substitution, insertion,... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Reactive navigation in dynamic environment using a multisensor predictor

    Publication Year: 1999, Page(s):870 - 880
    Cited by:  Papers (20)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (676 KB)

    A reactive navigation system for an autonomous mobile robot in unstructured dynamic environments is presented. The motion of moving obstacles is estimated for robot motion planning and obstacle avoidance. A multisensor-based obstacle predictor is utilized to obtain obstacle-motion information. Sensory data from a CCD camera and multiple ultrasonic range finders are combined to predict obstacle pos... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A two-stage evolutionary process for designing TSK fuzzy rule-based systems

    Publication Year: 1999, Page(s):703 - 715
    Cited by:  Papers (51)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (548 KB)

    Nowadays, fuzzy rule-based systems are successfully applied to many different real-world problems. Unfortunately, relatively few well-structured methodologies exist for designing and, in many cases, human experts are not able to express the knowledge needed to solve the problem in the form of fuzzy rules. Takagi-Sugeno-Kang (TSK) fuzzy rule-based systems were enunciated in order to solve this desi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • POPFNN-AAR(S): a pseudo outer-product based fuzzy neural network

    Publication Year: 1999, Page(s):859 - 870
    Cited by:  Papers (39)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (400 KB)

    A novel fuzzy neural network, the pseudo outer-product-based fuzzy neural network using the singleton fuzzifier together with the approximate analogical reasoning schema, is proposed in this paper. The network is referred to as the singleton fuzzifier POPFNN-AARS, the singleton fuzzifier POPFNN-AARS employs the approximate analogical reasoning schema (AARS) instead of the commonly used truth value... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive neural network control of nonlinear systems by state and output feedback

    Publication Year: 1999, Page(s):818 - 828
    Cited by:  Papers (163)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (632 KB)

    This paper presents a novel control method for a general class of nonlinear systems using neural networks (NNs). Firstly, under the conditions of the system output and its time derivatives being available for feedback, an adaptive state feedback NN controller is developed. When only the output is measurable, by using a high-gain observer to estimate the derivatives of the system output, an adaptiv... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A concept learning network based on correlation and backpropagation

    Publication Year: 1999, Page(s):912 - 916
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (140 KB)

    A new concept learning neural network is presented. This network builds correlation learning into a rule learning neural network where the certainty factor model of traditional expert systems is taken as the network activation function. The main argument for this approach is that correlation learning can help when the neural network fails to converge to the target concept due to insufficient or no... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fuzzy relation equations and fuzzy inference systems: an inside approach

    Publication Year: 1999, Page(s):694 - 702
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB)

    This paper investigates and extends the use of fuzzy relation equations for the representation and study of fuzzy inference systems. Using the generalized sup-t (t is a triangular norm) composition of fuzzy relations and the study of sup-t fuzzy relation equations, interesting results are provided concerning the completeness and the theoretical soundness of the representation, as well as the abili... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • New techniques on deformed image motion estimation and compensation

    Publication Year: 1999, Page(s):846 - 859
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (736 KB)

    In this paper, new techniques for deformed image motion estimation and compensation using variable-size block-matching are proposed, which can be applied to an image sequence compression system or a moving object recognition system. The motion estimation and compensation techniques have been successfully applied in the area of image sequence coding. Many research papers on improving the performanc... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks

    Publication Year: 1999, Page(s):802 - 817
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB)

    Model-based methods for the state estimation and control of linear systems have been well developed and widely applied. In practice, the underlying systems are often unknown and nonlinear. Therefore, data based model identification and associated linearization techniques are very important. Local linearization and feedback linearization have drawn considerable attention in recent years. In this pa... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A survey of fuzzy clustering algorithms for pattern recognition. I

    Publication Year: 1999, Page(s):778 - 785
    Cited by:  Papers (160)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB)

    Clustering algorithms aim at modeling fuzzy (i.e., ambiguous) unlabeled patterns efficiently. Our goal is to propose a theoretical framework where the expressive power of clustering systems can be compared on the basis of a meaningful set of common functional features. Part I of this paper reviews the following issues related to clustering approaches found in the literature: relative (probabilisti... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • CAN: chain of nodes approach to direct rule induction

    Publication Year: 1999, Page(s):758 - 770
    Cited by:  Papers (5)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    CAN is a heuristic algorithm that employs an information theoretic measure to learn rules. CAN approach distinguishes itself from other approaches by being direct, meaning that there are no intermediate representations, an induced rule is never altered in later stages and only tests that appear in the final solution are generated. In the selection of rule conditions (tests) existing rule induction... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Derivation and analytic evaluation of an equivalence relation clustering algorithm

    Publication Year: 1999, Page(s):908 - 912
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (180 KB)

    Clustering algorithms have been recently used in multitarget multisensor tracking (MMT) problems in order to reduce the size of the data association problem. This paper derives an equivalence relation (ER) clustering algorithm used in a MMT problem and briefly compares it to other clustering schemes such as the nearest neighbor method. The main contribution of this work is the analytical evaluatio... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A hybrid clustering and gradient descent approach for fuzzy modeling

    Publication Year: 1999, Page(s):686 - 693
    Cited by:  Papers (47)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB)

    In this paper, a hybrid clustering and gradient descent approach is proposed for automatically constructing a multi-input fuzzy model where only the input-output data of the identified system are available. The proposed approach is composed of two steps: structure identification and parameter identification. In the process of structure identification, a clustering method is proposed to provide a s... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Simultaneous training of negatively correlated neural networks in an ensemble

    Publication Year: 1999, Page(s):716 - 725
    Cited by:  Papers (122)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB)

    This paper presents a new cooperative ensemble learning system (CELS) for designing neural network ensembles. The idea behind CELS is to encourage different individual networks in an ensemble to learn different parts or aspects of a training data so that the ensemble can learn the whole training data better. In CELS, the individual networks are trained simultaneously rather than independently or s... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • On generating FC3 fuzzy rule systems from data using evolution strategies

    Publication Year: 1999, Page(s):829 - 845
    Cited by:  Papers (95)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (516 KB)

    Sophisticated fuzzy rule systems are supposed to be flexible, complete, consistent and compact (FC3). Flexibility, and consistency are essential for fuzzy systems to exhibit an excellent performance and to have a clear physical meaning, while compactness is crucial when the number of the input variables increases. However, the completeness and consistency conditions are often violated i... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A survey of fuzzy clustering algorithms for pattern recognition. II

    Publication Year: 1999, Page(s):786 - 801
    Cited by:  Papers (90)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    For pt.I see ibid., p.775-85. In part I an equivalence between the concepts of fuzzy clustering and soft competitive learning in clustering algorithms is proposed on the basis of the existing literature. Moreover, a set of functional attributes is selected for use as dictionary entries in the comparison of clustering algorithms. In this paper, five clustering algorithms taken from the literature a... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A global optimization method for nonlinear bilevel programming problems

    Publication Year: 1999, Page(s):771 - 777
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    Nonlinear two-level programming deals with optimization problems in which the constraint region is implicitly determined by another optimization problem. Mathematical programs of this type arise in connection with policy problems to which the Stackelberg leader-follower game is applicable. In this paper, the nonlinear bilevel programming problem is restated as a global optimization problem and a n... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A reinforcement neuro-fuzzy combiner for multiobjective control

    Publication Year: 1999, Page(s):726 - 744
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (620 KB)

    This paper proposes a neuro-fuzzy combiner (NFC) with reinforcement learning capability for solving multiobjective control problems. The proposed NFC can combine n existing low-level controllers in a hierarchical way to form a multiobjective fuzzy controller. It is assumed that each low-level (fuzzy or nonfuzzy) controller has been well designed to serve a particular objective. The role of the NFC... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Linguistic models and linguistic modeling

    Publication Year: 1999, Page(s):745 - 757
    Cited by:  Papers (60)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB)

    The study is concerned with a linguistic approach to the design of a new category of fuzzy (granular) models. In contrast to numerically driven identification techniques, we concentrate on budding meaningful linguistic labels (granules) in the space of experimental data and forming the ensuing model as a web of associations between such granules. As such models are designed at the level of informa... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.

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