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Titlebook: Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis; Marcin Mrugalski Book 2014 Springer International Publishi

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發(fā)表于 2025-3-21 16:42:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
影響因子2023Marcin Mrugalski
視頻videohttp://file.papertrans.cn/147/146038/146038.mp4
發(fā)行地址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 diag
學(xué)科分類Studies in Computational Intelligence
圖書封面Titlebook: Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis;  Marcin Mrugalski Book 2014 Springer International Publishi
影響因子.The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems..A part of the book focuses on 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. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered..All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications..?.
Pindex Book 2014
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Bioclimatic Design and Environmental Impactt can be generally defined as an unpermitted deviation of at least one characteristic property or parameter of a system from a normal condition, e.g., a sensor malfunction. All an unexpected variations that tend to degrade the overall performance of the system can be also interpreted as faults.
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Pulsations in Technology Innovatione uncertainty of the neural model and disturbances existing in the industrial system. In the case of the most widely applied the ANNs such as the MLP, the model uncertainty can appear both during structure selection of the neural model and parameters estimation.
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發(fā)表于 2025-3-22 23:49:10 | 只看該作者
Bioclimatic Project: General Guidelinesd once again. The determination of the appropriate structure and parameters of the model in the presented way is a complex task. Furthermore, an arbitrary selection of the ANN structure can be a source of the model uncertainty.
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Front Matterechanik geeignet für Spezialvorlesungen und Seminare im Mast.In einer umfassenden Darstellung entwickeln und vertiefen die vier B?nde dieses Lehrbuchs das Geb?ude der nichtrelativistischen Quantenmechanik, weshalb sie auch bestens als Nachschlagewerk geeignet sind...Der zweite Band behandelt den qua
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