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  • Marcin Mrugalski
    978-3-319-01547-7
    2014
    Edition 1
    • Devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes
    • Details neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems
    • Treats fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness
    • The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field

    €180

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