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This paper proposes chaotic neural networks with nonlinear Gauss wavelet self-feedback. Chaotic neural networks with wavelet self-feedback not only have the ability of globally searching optimum due to chaos but also have the ability of local approximation due to wavelet. The analyses of asymptotical stability demonstrate the proposed networks can converge stably. The experimental results show that...
The following topics are dealt with: security of data; power line communication; radio networks; video streaming; telecommunication switching; optical communication; antenna; computer networks; modulation; diversity reception; mobile communication; optimization; artificial intelligence; neural nets; operations research; signal processing; medical computing; microprocessor chips; FPGA; power systems;...
Artificial neural networks (ANN) and fuzzy systems are the widely preferred artificial intelligence techniques for biological computational applications. While ANN is less accurate than fuzzy logic systems, fuzzy theory needs expertise knowledge to guarantee high accuracy. Since both the methodologies possess certain advantages and disadvantages, it is primarily important to compare and contrast these...
The industrial demand for higher reliability of various components is one of the main flywheels of the research and development in the field of modelling of complex phenomena. There is a need to characterize the wear behaviour of the interface under fretting wear conditions in ball bearing application. Pre-treated experimental data was used to determine the wear of contacting surfaces as a criterion...
The following topics are dealt with: image processing; computer vision; audio and video signal processing; wireless network; optimization; evolutionary based algorithm; microelectronics; ASIC; system-on-chip; database system; data warehousing; data mining; artificial neural network; fuzzy system; human computer interaction; computer network security; protocol; field programmable gate array; information...
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