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

Issue 4 • Aug 2000

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Displaying Results 1 - 16 of 16
  • A token-flow paradigm for verification of rule-based expert systems

    Publication Year: 2000, Page(s):616 - 624
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    This paper presents a novel approach to the verification of rule-based systems (RBSs). A graph structure, called the rule-dependency graph (RDG), is introduced to describe the dependency relationship among the rules of an RBS, in which each type of improper knowledge forms a specific topological structure. Knowledge verification is then performed by searching for such topological structures throug... View full abstract»

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  • Optimal spatial filter selection for illumination-invariant color texture discrimination

    Publication Year: 2000, Page(s):610 - 616
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB)

    Color textures contain a large amount of spectral and spatial structure that can be exploited for recognition. Recent work has demonstrated that spatial filters offer a convenient means of extracting illumination-invariant spatial information from a color image. In this paper, we address the problem of deriving optimal filters for illumination-invariant color texture discrimination. Color textures... View full abstract»

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  • Constructing hysteretic memory in neural networks

    Publication Year: 2000, Page(s):601 - 609
    Cited by:  Papers (50)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB)

    Hysteresis is a unique type of dynamic, which contains an important property, rate-independent memory. In addition to other memory-related studies such as time delay neural networks, recurrent networks, and reinforcement learning, rate-independent memory deserves further attention owing to its potential applications. In this paper, we attempt to define hysteretic memory (rate independent memory) a... View full abstract»

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  • Fuzzy neural network approaches for robotic gait synthesis

    Publication Year: 2000, Page(s):594 - 601
    Cited by:  Papers (54)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB)

    In this paper, a learning scheme using a fuzzy controller to generate walking gaits is developed. The learning scheme uses a fuzzy controller combined with a linearized inverse biped model. The controller provides the control signals at each control time instant. The algorithm used to train the controller is “backpropagation through time”. The linearized inverse biped model provides th... View full abstract»

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  • Flexible complexity reduced PID-like fuzzy controllers

    Publication Year: 2000, Page(s):510 - 516
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (140 KB)

    In this paper, a flexible complexity reduced design approach for PID-like fuzzy controllers is proposed. With the linear combination of input variables as a new input variable, the complexity of the fuzzy mechanism of PID-like fuzzy controllers is significantly reduced. However, the performance of the complexity reduced fuzzy PID controller may be degraded since the degree of freedom is decreased ... View full abstract»

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  • Toward optimizing a self-creating neural network

    Publication Year: 2000, Page(s):586 - 593
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB)

    This paper optimizes the performance of the growing cell structures (GCS) model in learning topology and vector quantization. Each node in GCS is attached with a resource counter. During the competitive learning process, the counter of the best-matching node is increased by a defined resource measure after each input presentation, and then all resource counters are decayed by a factor α. We ... View full abstract»

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  • How good are fuzzy If-Then classifiers?

    Publication Year: 2000, Page(s):501 - 509
    Cited by:  Papers (61)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    This paper gives some known theoretical results about fuzzy rule-based classifiers and offers a few new ones. The ability of Takagi-Sugeno-Kang (TSK) fuzzy classifiers to match exactly and to approximate classification boundaries is discussed. The lemma by Klawonn and Klement about the exact match of a classification boundary in ℛ 2 is extended from monotonous to arbitrary function... View full abstract»

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  • The certainty factor-based neural network in continuous classification domains

    Publication Year: 2000, Page(s):581 - 586
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (144 KB)

    The integration of certainty factors (CFs) into the neural computing framework has resulted in a special artificial neural network known as the CFNet. This paper presents the cont-CFNet, which is devoted to classification domains where instances are described by continuous attributes. A new mathematical analysis on learning behavior, specifically linear versus nonlinear learning, is provided that ... View full abstract»

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  • Evolutionary tuning of a fuzzy dispatching system for automated guided vehicles

    Publication Year: 2000, Page(s):632 - 636
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (116 KB)

    This paper develops a novel genetic algorithm (GA) based methodology for optimal tuning of a reported fuzzy dispatching system for a fleet of automated guided vehicles in a flexible manufacturing environment. The reported dispatching rules are transformed into a continuously adaptive procedure to capitalize the on-line information available from a shop floor at all times. Simulation results obtain... View full abstract»

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  • Extracting Boolean rules from CA patterns

    Publication Year: 2000, Page(s):573 - 580
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (552 KB)

    A multiobjective genetic algorithm (GA) is introduced to identify both the neighborhood and the rule set in the form of a parsimonious Boolean expression for both one- and two-dimensional cellular automata (CA). Simulation results illustrate that the new algorithm performs well even when the patterns are corrupted by static and dynamic noise View full abstract»

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  • Identification of general fuzzy measures by genetic algorithms based on partial information

    Publication Year: 2000, Page(s):517 - 528
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    This study develops an identification procedure for general fuzzy measures using genetic algorithms. In view of the difficulty in data collection in practice, the amount of input data is simplified through a sampling procedure concerning attribute subsets, and the corresponding detail design is adapted to the partial information acquired by the procedure. A specially designed genetic algorithm is ... View full abstract»

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  • Correctness in hierarchical knowledge-based requirements

    Publication Year: 2000, Page(s):625 - 631
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (164 KB)

    As expert system technology gains broader acceptance, the need to build and maintain large-scale knowledge bases will assume greater importance. Traditional approaches to knowledge-based systems (KBSs) verification have generally adopted a pairwise comparison of rules, making them slow for large-scale KBSs. This paper introduces the least fixpoint semantics of a predicate/transition (pr/t) net mod... View full abstract»

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  • Efficient formulation of the force distribution equations for general tree-structured robotic mechanisms with a mobile base

    Publication Year: 2000, Page(s):529 - 538
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (260 KB)

    In this paper, an efficient and systematic formulation of the force distribution equations for general tree-structured robotic mechanisms is presented. The applicable platforms include not only systems with star topologies, such as walking machines that have multiple legs with a single body but also general tree-structured mechanisms, such as variably configured wheeled vehicles having multiple mo... View full abstract»

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  • Lane detection by orientation and length discrimination

    Publication Year: 2000, Page(s):539 - 548
    Cited by:  Papers (53)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (764 KB)

    This paper describes a novel lane detection algorithm for visual traffic surveillance applications under the auspice of intelligent transportation systems. Traditional lane detection methods for vehicle navigation typically use spatial masks to isolate instantaneous lane information from on-vehicle camera images. When surveillance is concerned, complete lane and multiple lane information is essent... View full abstract»

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  • The concept of “stability” in asynchronous distributed decision-making systems

    Publication Year: 2000, Page(s):549 - 561
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    Asynchronous distributed decision-making (ADDM) systems constitute a special class of distributed problems and are characterized as large, complex systems wherein the principal elements are the geographically dispersed entities that communicate among themselves, asynchronously, through message passing and are permitted autonomy in local decision making. Such systems generally offer significant adv... View full abstract»

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  • Compositional time Petri nets and reduction rules

    Publication Year: 2000, Page(s):562 - 572
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB)

    This paper introduces compositional time Petri net (CTPN) models. A CTPN is a modularized time Petri net (TPN), which is composed of components and connectors. The paper also proposes a set of component-level reduction rules for TPNs. Each of these reduction rules transforms a TPN component to a very simple one while maintaining the net's external observable timing properties. Consequently, the pr... 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