Lotfi A. Zadeh (auth.), Patricia Melin, Oscar Castillo,'s Analysis and Design of Intelligent Systems using Soft PDF

By Lotfi A. Zadeh (auth.), Patricia Melin, Oscar Castillo, Eduardo Gomez Ramírez, Janusz Kacprzyk, Witold Pedrycz (eds.)

ISBN-10: 3540724311

ISBN-13: 9783540724315

ISBN-10: 354072432X

ISBN-13: 9783540724322

This e-book includes a variety of papers from IFSA 2007 on new tools for research and layout of hybrid clever structures utilizing smooth computing concepts. tender Computing (SC) includes a number of computing paradigms, together with fuzzy common sense, neural networks, and genetic algorithms, which might be used to provide strong hybrid clever structures for fixing difficulties in development popularity, time sequence prediction, clever keep watch over, robotics and automation. Hybrid clever structures that mix numerous SC suggestions are wanted end result of the complexity and excessive dimensionality of real-world difficulties. Hybrid clever platforms could have diverse architectures, that have an influence at the potency and accuracy of those structures, as a result it is important to to optimize structure layout. The architectures can mix, in numerous methods, neural networks, fuzzy good judgment and genetic algorithms, to accomplish the last word objective of trend reputation, time sequence prediction, clever keep an eye on, or different software parts.

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Soto, M. Lopez, and P. Melin, “Type-2 Fuzzy Logic as a Method of Response Integration in Modular Neural Networks”, Proceedings of the 2006 International Conference on Artificial Intelligence, vol. 2 pp. 584. ,”Fuzzy Sets”, Information and Control, vol. 8, 1975. , “Fuzzy Logic = Computing with Words”, IEEE Transactions on Fuzzy Systems, vol. 4, No. 2, May 1996. , “Fuzzy Logic”, Computer, vol. 1, No. 4, pp. 83-93, 1998. Evolving Type-2 Fuzzy Logic Controllers for Autonomous Mobile Robots Christian Wagner and Hani Hagras Department of Computer Science, University of Essex, Wivenhoe Park, Colchester, United Kingdom Abstract.

The best type-2 fuzzy system, in the sense that it produced the best recognition results, was the one with triangular membership functions. We show in Figures 11 and 12 the membership functions of the type-2 fuzzy sytem. The recognition results of this type-2 fuzzy system, for each training of the modular neural, are shown in Table 2. 12 J. Urías et al. Fig. 5. Input variables of the type-2 fuzzy system Fig. 6. Output variables of the type-2 fuzzy system Table 2. Results of the Type-2 Fuzzy System with Triangular Membership Functions In Table 2 we show the results for 15 trainings of the modular neural network.

As described in the previous section, our soft remote control system (SRCS) recognizes hand position and pointing direction from the images of 3 color cameras equipped with pan/tilt devices and is capable to control multiple home appliances based on various hand gestures [2, 3]. The system has five modules as shown in Fig. 2: the data acquisition module, preprocessing module, hand region segmentation module, pointing recognition module and appliance control module. Data acquisition module Preprocessing module Hand region segmentation module Pointing recognition module Appliance control module Fig.

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Analysis and Design of Intelligent Systems using Soft Computing Techniques by Lotfi A. Zadeh (auth.), Patricia Melin, Oscar Castillo, Eduardo Gomez Ramírez, Janusz Kacprzyk, Witold Pedrycz (eds.)

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