Produktnummer:
181860019f21224909ab9fea44608c4d36
| Themengebiete: | AI Frameworks AI Technologies Adaptive Decision-making Computational Intelligence Deep Learning Emerging Tools Industry 4.0 Predictive Maintenance Quality Control Smart Manufacturing |
|---|---|
| Veröffentlichungsdatum: | 24.08.2025 |
| EAN: | 9783031946363 |
| Sprache: | Englisch |
| Seitenzahl: | 382 |
| Produktart: | Gebunden |
| Herausgeber: | Dhanaraj, Rajesh Kumar Krishnasamy, Lalitha Ouaissa, Mariya Pamucar, Dragan |
| Verlag: | Springer International Publishing |
Produktinformationen "Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0"
This book is a comprehensive resource that delves into the integration of advanced artificial intelligence techniques within the context of modern industrial practices. It systematically explores how distributed deep learning methodologies can be effectively combined with explainable AI to enhance transparency in Industry 4.0 applications. In recent years, neural networks and other deep learning models have produced remarkable outcomes in a variety of fields, including image recognition, natural language processing, and decision-making. Concerns have been raised regarding the transparency and interpretability of these models as a result of their increasing intricacy. The demand for methodologies and approaches associated with explainable artificial intelligence (XAI) has consequently increased. The primary aim of XAI is to enhance the transparency and comprehensibility of deep learning model decision-making processes for stakeholders, irrespective of their technical expertise.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen