Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 5:00 PM ET (12:00 - 21:00 UTC). We apologize for the inconvenience.
By Topic

Proceedings of the IEEE

Issue 9 • Date Sept. 2001

Filter Results

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)
    Save to Project icon | Request Permissions | PDF file iconPDF (35 KB) |  | HTML iconHTML  
    Freely Available from IEEE
  • Scanning the technology: Foreward

    Publication Year: 2001 , Page(s): 1242
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | 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 utilization of information/intelligent systems. Progress in science and technology has led to brilliant successes. We have sent men to the moon, built the web, and are on the brink of mapping the structure of genes. But what we have not learned is how to mimic the remarkable human capability to perform a wide variety of physical and mental tasks without any measurements and any computations. In performing such tasks, e.g., driving in city traffic or playing golf, we employ perceptions??rather than measurements?? of time, distance, speed, shape, color, likelihood, and other attributes of physical and mental objects. It is this human capability that existing scientific theories do not possess. The computational theory of perceptions is aimed at adding this capability to measurement-based theories. I believe that, in time, the capability to operate on perception- based information will be added to all members of the SC coalition. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fusion of fuzzy/neuro/evolutionary computing for knowledge acquisition

    Publication Year: 2001 , Page(s): 1266 - 1274
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | 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 uncertain data and to point out the areas where soft computing can become a breakthrough technology View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation

    Publication Year: 2001 , Page(s): 1275 - 1296
    Cited by:  Papers (310)  |  Patents (20)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | 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 arts and animation, 3D computer graphics lighting, music, editorial design, industrial design, facial image generation, speed processing and synthesis, hearing aid fitting, virtual reality, media database retrieval, data mining, image processing, control and robotics, food industry, geophysics, education, entertainment, social system, and so on. The interface research to reduce human fatigue is also included. Finally, we discuss the IEC from the point of the future research direction of computational intelligence. This paper features a survey of about 250 IEC research papers View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Evolutionary learning, reinforcement learning, and fuzzy rules for knowledge acquisition in agent-based systems

    Publication Year: 2001 , Page(s): 1334 - 1346
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | 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 behaviors of the other agents it is interacting with, and another application where a group of agents co-evolve cooperative behaviors by using explicit communication to propose the cooperation and to distribute reinforcement to the others View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Evolutionary algorithms for fuzzy control system design

    Publication Year: 2001 , Page(s): 1318 - 1333
    Cited by:  Papers (44)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | 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 design of the fuzzy rule base. Their objective is to generate a set of fuzzy if-then rules that establishes the appropriate mapping from input states to control actions. We describe two applications of genetic-fuzzy systems in detail: an evolution strategy that tunes the scaling and membership functions of a fuzzy cart-pole balancing controller and a genetic algorithm that learns the fuzzy control rules for an obstacle-avoidance behavior of a mobile robot View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Industrial applications of soft computing: a review

    Publication Year: 2001 , Page(s): 1243 - 1265
    Cited by:  Papers (46)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | 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 enable intelligent systems to be constructed at low cost. This paper reviews applications of SC in several industrial fields to show the various innovations by TR, HMIQ, and low cost in industries that have been made possible by the use of SC. Our paper intends to remove the gap between theory and practice and attempts to learn how to apply soft computing practically to industrial systems from examples/analogy, reviewing many application papers View full abstract»

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

    Publication Year: 2001 , Page(s): 1347 - 1348
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (43 KB)  

    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 might achieve but whose own ideas about achieving it were quite unrealistic. Undoubtedly, Baird's drive and enthusiasm contributed to the general acceptance of the concept of television, but he is not usually credited with any lasting practical contribution View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Signal processing and pattern recognition with soft computing

    Publication Year: 2001 , Page(s): 1297 - 1317
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | 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 SPPR techniques and self-organizing neural networks. Successful technologies for monitoring a geostructure by supervised and self-organizing neural networks are described. Identification of a freehand drawing by a combination of fuzzy logic and neural networks is also described. Moreover, application of fuzzy logic to image segmentation is presented. Finally, innovation of SPPR using SC technologies is discussed View full abstract»

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

Aims & Scope

The most highly-cited general interest journal in electrical engineering and computer science, the Proceedings is the best way to stay informed on an exemplary range of topics.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
H. Joel Trussell
North Carolina State University