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  1. Priority Queues

    This chapter will use the queuing system in Chaps. 5 and 9, but with priority orders. The system is shown in Fig. 19.1. Everything is the same as in...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  2. Hierarchical Bayesian Optimization Algorithm

    The previous chapter has discussed how hierarchy can be used to reduce problem complexity in black-box optimization. Additionally, the chapter has...
    Martin Pelikan in Hierarchical Bayesian Optimization Algorithm
    Chapter

  3. Optimizing a Production Line

    The simple production line considered in this chapter is shown in Fig. 20.1. This problem has been adapted from an example in [1]. This situation is...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  4. Queuing I: One-Step Calculations

    In this chapter we show situations where simulation can produce the same results as fuzzy calculations which employ the extension principle. We argue...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  5. Simulation Programs

    In this chapter we present some of the GPSS programs used in Chaps. 9–26. We had to omit many programs in order to keep this chapter. less that 20...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  6. Queuing II: No One-Step Calculations

    In this chapter we will study the fuzzy system shown in Fig. 5.1 now reproduced as Fig. 9.1. This example was adapted from an example in [1]. The...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  7. Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures

    We describe in this chapter a new approach for fingerprint recognition using modular neural networks with a fuzzy logic method for response...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  8. Modular Neural Networks

    We describe in this chapter the basic concepts, theory and algorithms of modular and ensemble neural networks. We will also give particular attention...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  9. Type-1 Fuzzy Logic

    This chapter introduces the basic concepts, notation, and basic operations for the type-1 fuzzy sets that will be needed in the following chapters....
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  10. Human Recognition using Face, Fingerprint and Voice

    We describe in this chapter a new approach for human recognition using as information the face, fingerprint, and voice of a person. We have described...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  11. Project Network Model

    The project network diagram is in Fig. 26.1. This problem is modelled after an example in [2]. The project consists of various jobs that must be...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  12. Simulation

    Now we come to the point were we need to select simulation software to do all the crisp simulations staring in Chap. 7. The author is not an expert...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  13. Fuzzy Estimation

    sThe first thing to do is explain how we will get fuzzy numbers, and fuzzy probabilities, from a set of confidence intervals which will be...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  14. Voice Recognition with Neural Networks, Fuzzy Logic and Genetic Algorithms

    We describe in this chapter the use of neural networks, fuzzy logic and genetic algorithms for voice recognition. In particular, we consider the case...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  15. Application of Evolutionary Algorithms to Global Cluster Geometry Optimization

    This contribution focuses upon the application of evolutionary algorithms to the nondeterministic polynomial hard problem of global cluster geometry...
    Bernd Hartke in Applications of Evolutionary Computation in Chemistry
    Chapter

  16. Prediction of Crystal Structures Using Evolutionary Algorithms and Related Techniques

    Methods, evolutionary and systematic search approaches, and applications of crystal structure prediction of closest-packed and framework materials...
    Scott M. Woodley in Applications of Evolutionary Computation in Chemistry
    Chapter

  18. Nineteenth and Twentieth Century Clouds Over the Twenty-First Century Virtual Observatory

    Physical science has changed in the century since Lord Kelvin’s celebrated essay on Nineteenth Century Clouds over the Dynamical Theory of Heat and...
    P. J. E. Peebles in Toward an International Virtual Observatory
    Conference paper

  19. Statistical Analysis of Observed and Simulated Surveys

    The statistical analysis of large astronomical datasets requires also application of powerful fast codes and corresponding basic models. Some...
    Andrei Doroshkevich in Toward an International Virtual Observatory
    Conference paper

  20. Star-Forming Regions at High Resolution: Interferometry for Virtual Observatories

    Star forming regions must be studied in 3-D with resolutions from milli-arcseconds to degrees, to understand the birth of stars and planets and the...
    Anita M. S. Richards, Simon T. Garrington in Toward an International Virtual Observatory
    Conference paper
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