Engineering Applications of Neural Networks
Springer International Publishing (Verlag)
978-3-031-34203-5 (ISBN)
The 41 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on artificial intelligence - computational methods - ethology; classification - filtering - genetic algorithms; complex dynamic networks' optimization/ graph neural networks; convolutional neural networks/spiking neural networks; deep learning modeling; deep/machine learning in engineering; LEARNING (reinforcemet - federated - adversarial - transfer); natural language - recommendation systems.
Artificial Intelligence - Computational Methods - Ethology.- Classification - Filtering - Genetic Algorithms.- Complex Dynamic Networks' Optimization/ Graph Neural Networks.- Convolutional Neural Networks / Spiking Neural Networks.- Deep Learning Modeling.- Deep/Machine Learning in Engineering.- LEARNING (Reinforcemet - Federated - Adversarial - Transfer).- Natural Language - Recommendation Systems.
| Erscheinungsdatum | 02.06.2023 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XXXII, 621 p. 207 illus., 165 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 977 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Adversarial Neural Networks • Anomaly Detection • classification • computer vision • convolutional neural networks • cybersecurity • Data Mining • Deep learning • generative AI • Image Analysis • machine learning • Recommendation Systems • Software engineering |
| ISBN-10 | 3-031-34203-8 / 3031342038 |
| ISBN-13 | 978-3-031-34203-5 / 9783031342035 |
| Zustand | Neuware |
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