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Showing 81-100 of 10,000 results
  1. Machine Servicing Problem

    The machine servicing problem is shown in Fig. 14.1 and a basic description can be found in almost any operations research book ([1] p. 573(....
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  2. A Bus Stop

    We have plenty of complaints about a certain bus stop. People can not get on the bus because when it stops it is already too crowded. We could add...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  3. Bank Teller Problem

    This is a classical problem in queuing theory: should there be multiple queues, one for each teller in a bank, or should we have one single queue for...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  4. Genetic Algorithms Based Hybrid Intelligent Systems

    The oldest branch of Evolutionary Computation, namely GA, is at the same time the used in real-world applications of HIS. Chapter 8 of the book tries...
    Mircea Gh. Negoita, Daniel Neagu, Vasile Palade in Computational Intelligence
    Chapter
  5. The Challenge of Hierarchical Difficulty

    Thus far, we have examined the Bayesian optimization algorithm (BOA), empirical results of its application to several problems of bounded difficulty,...
    Chapter
  6. Life Insurance: New Account Model

    This problem was derived from an example in [1]. The system is shown in Fig. 15.1. This figure shows how this insurance company handles an...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  7. New Trends of Develo** Hybrid Intelligent Systems – AIS Hybridization and DNA-Hybridization

    As already mentioned in Chap.1, the use of biologically inspired CI techniques play a crucial role for the hybridisation at any level of HIS features...
    Mircea Gh. Negoita, Daniel Neagu, Vasile Palade in Computational Intelligence
    Chapter
  8. Thematic Fuzzy Prediction of Weed Dispersal Using Spatial Dataset

    This paper demonstrates the framework and methodology of how weed population dynamics can be predicted using rule-base fuzzy logic as applied to GIS...
    Chapter
  9. Fuzzy Logic Strategy of Prognosticating TCP’s Timeout and Retransmission

    The work presented in this paper is the design and implementation of an intelligent strategy using fuzzy logic technology to gauge the TCP timeout...
    Zhongwei Zhang, Zhi Li, Shan Suthaharan in Computational Intelligence for Modelling and Prediction
    Chapter
  10. Efficient ReasoningWith FuzzyWords

    Dealing with coarse granular information is very attractive for several reasons: 1. The number of details in an application might be so large that...
    Chapter
  11. Soft Computing Models for Network Intrusion Detection Systems

    Security of computers and the networks that connect them is increasingly becoming of great significance. Computer security is defined as the...
    Chapter
  12. Serendipity in Text and Audio Information Spaces: Organizing and Exploring High-Dimensional Data with the Growing Hierarchical Self-Organizing Map

    While tools exist that allow us to search through vast amounts of text within seconds, most systems fail to assist the user in getting an overview of...
    Michael Dittenbach, Dieter Merkl, Andreas Rauber in Classification and Clustering for Knowledge Discovery
    Chapter
  13. Identifying Interesting Patterns in Multidatabases

    In this chapter we develop a new technique for mining multidatabases. The new mining algorithm, by comparing to traditional multidatabase mining...
    Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang in Classification and Clustering for Knowledge Discovery
    Chapter
  14. On the Classification of Maze Problems

    A maze is a grid-like two-dimensional area of any size, usually rectangular. A maze consists of cells. A cell is an elementary maze item, a formally...
    Anthony J. Bagnall, Zhanna V. Zatuchna in Foundations of Learning Classifier Systems
    Chapter
  15. Learning Classifier Systems: A Reinforcement Learning Perspective

    Reinforcement learning is defined as the problem of an agent that learns to perform a certain task through trial and error interactions with an...
    Chapter
  16. Aspects of Statistical Inference

    With the background in previous chapters, problems of statistical inference with fuzzy data should be somewhat straightforward in principle! By that...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  17. Convergence of Random Fuzzy Sets

    As in Chapter 5, we view random fuzzy sets as generalizations of random closed sets on R d , or more generally on...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter
  18. Maximization of Combustion Efficiency: A Data Mining Approach

    Maximizing combustion efficiency with minimizing emissions is of importance to electric power industry. In this research, the impact of data...
    Chapter
  19. Supporting Deep Learning in an Open-ended Domain

    Self-explanation has been used successfully in teaching Mathematics and Physics to facilitate deep learning. We are interested in investigating...
    Chapter
  20. Basics of Machine Learning by Support Vector Machines

    Here, we talk about the (machine) learning from empirical data (i.e., examples, samples, measurements, records, patterns or observations) by applying...
    Chapter
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