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  1. 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

  2. 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...
    Martin Pelikan in Hierarchical Bayesian Optimization Algorithm
    Chapter

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  13. RTLinux-Based Controller for the SuperMARIO Mobile Robot

    In the last years a new way to implement Real Time control systems has been opened, in connection with the diffusion of the open-source operating...
    Claudio Bellini, Stefano Panzieri, ... Giovanni Ulivi in Advances in Control of Articulated and Mobile Robots
    Chapter

  14. Vision Based Motion Planning of Humanoid Robots

    Vision is the most effective sensing form for humans in understanding their environment, recognition of the objects around them and navigating from...
    M. Fikret Ercan, Changjiu Zhou in Robotic Welding, Intelligence and Automation
    Conference paper

  15. Evolution of Locomotion Controllers for Legged Robots

    The construction of a locomotion controller for legged robots is a difficult and time consuming process. This task can be automated through the use...
    A. Boeing, T. Bräunl in Robotic Welding, Intelligence and Automation
    Conference paper

  16. Thresholding Segmentation and Classification in Automated Ultrasonic Testing Image of Electrical Contact

    This paper is concerned with the thresholding segmentation of ultrasonic C-scan image for defect with artificial intelligence and support vector...
    H.D. Chen, Z.J. Cao, ... J. Xue in Robotic Welding, Intelligence and Automation
    Conference paper

  17. 6 Conclusion

    Controllable underactuated manipulators were successfully developed based on the nonlinear control theoretic approach. The nonholonomic gear is...
    Woo** Chung in Nonholonomic Manipulators
    Chapter

  18. 4 Design of the chained form manipulator

    Nonholonomic underactuated systems are typically modelled as highly nonlinear ones, which becomes obvious as the dimension of the system increases....
    Woo** Chung in Nonholonomic Manipulators
    Chapter

  19. Extremal Properties of Random Structures

    The extremal characteristics of random structures, including trees, graphs, and networks, are discussed. A statistical physics approach is employed...
    Eli Ben-Naim, Paul L. Krapivsky, Sidney Redner in Complex Networks
    Chapter

  20. On the Analysis of Backtrack Proceduresfor the Colouring of Random Graphs

    Backtrack search algorithms are procedures capable of deciding whether a decision problem has a solution or not through a sequence of trials and...
    Rémi Monasson in Complex Networks
    Chapter
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