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  1. 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
  2. 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
  3. 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
  4. Summary and Conclusions

    The first objective of this book is to explain how many systems naturally become fuzzy systems. The second objective is to show how regular (crisp)...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  5. Rhombohedral PZT Thin Films Prepared by Sputtering

    PZT thin films with a rhombohedral perovskite structure were successfully grown on (111) PLT/Pt/Ti/SiO2/Si and (111) Ir/SiO2/Si substrates. The...
    Masatoshi Adachi in Ferroelectric Thin Films
    Chapter
  6. Correlation Between Domain Structures and Dielectric Properties in Single Crystals of Ferroelectric Solid Solutions

    In the present chapter, the growth of single crystals in relaxor–PbTiO3 (PT) solid solution system by the flux method and the solution Bridgman...
    Naohiko Yasuda in Ferroelectric Thin Films
    Chapter
  7. Relaxor Superlattices: Artificial Control of the Ordered–Disordered State of B-Site Ions in Perovskites

    We have developed a new superlattice technique to artificially control the B-site ordering state. The technique has been applied to Ba(Zr0.2Ti0.8)O3,...
    Hitoshi Tabata in Ferroelectric Thin Films
    Chapter
  8. Pb-Based Ferroelectric Thin Films Prepared by MOCVD

    This Chapter focuses on the preparation and ferroelectric properties of Pb-based thin films and nanostructures. First, the growth behavior of...
    Masaru Shimizu, Hironori Fujisawa, Hirohiko Niu in Ferroelectric Thin Films
    Chapter
  9. Chemical Solution Depositionof Layer-Structured Ferroelectric Thin Films

    Ferroelectric rare-earth-doped Bi4Ti3O12 thin films have been successfully prepared on Si-based substrates by using metallo-organic precursor...
    Shin-ichi Hirano, Takashi Hayashi, ... Toshinobu Yogo in Ferroelectric Thin Films
    Chapter
  10. Few-Cycle Pulses Directly from a Laser

    Advances in ultrashort-pulse laser technology have led to the generation of few-cycle optical pulses directly from oscillators at high repetition...
    Franz X. Kärtner, Uwe Morgner, ... Erich P. Ippen in Few-Cycle Laser Pulse Generation and Its Applications
    Chapter
  11. Carrier–Envelope Phase Stabilization of Single and Multiple Femtosecond Lasers

    The basic concepts, technical implementation, and known limitations of actively stabilizing the carrier–envelope phase of a few-cycle pulse train are...
    David J. Jones, Steve T. Cundiff, ... Jun Ye in Few-Cycle Laser Pulse Generation and Its Applications
    Chapter
  12. Monolithic Silicon Light Sources

    Monolithic silicon light sources (LEDs and lasers) could have a significant impact when integrated on silicon chips. After a general introduction to...
    Philippe M. Fauchet in Silicon Photonics
    Chapter
  13. 5. Simulation of Active and Nonlinear Photonic Nano-Materials in the Finite-Difference Time-Domain (FDTD) Framework

    A numerical method is presented that unites three-dimensional finite-differnce time-domain (FDTD) computer simulations of active, nonlinear photonic...
    A. Klaedtke, J. Hamm, O. Hess in Computational Materials Science
    Chapter
  14. Machine Shop I

    The queuing system in this chapter is shown in Fig. 11.1. This application was adopted from a problem in ([1], p.594). We continue this problem in...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  15. From Genetic Variation to Probabilistic Modeling

    Genetic algorithms ⦓GAs) [53, 83] are stochastic optimization methods inspired by natural evolution and genetics. Over the last few decades, GAs have...
    Chapter
  16. Inventory Control II

    This chapter continues the inventory control problem studied in the previous chapter. The new system is shown in Fig. 17.1. We have added two things...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  17. 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
  18. 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
  19. 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...
    Chapter
  20. 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....
    Chapter
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