Neural Networks

Gebonden Engels 2026 9780443431821
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Neural Networks, Volume 55 delves into the world of deep learning machines, defining neural networks and covering their central role in the development of modern language models, machine‑learning‑based decision‑making systems, and many other advances in artificial intelligence. Chapters in this new release include Neural networks with random weights, Bayesian Neural Networks for Official Statistics: Modeling High-Dimensional Structure in Complex Surveys and Administrative Records, Weakly supervised learning for neural networks, How to test a neural network as a null hypothesis, Test-Time Adaptation with Neural Networks: Approaches and Advances in Image Classification, and much more.

Additional sections cover Semantics and Verification of Neural Network Components in Robotic Control Software, Artificial Neural Network Procedures for the Nonlinear Dynamical Plankton System, Neural Networks from Statistical Perspective, Neural Network applications in Assistive and Collaborative Robotics, Neural Network applications in Assistive and Collaborative Robotics, and Neural Networks using SPDEs.

Specificaties

ISBN13:9780443431821
Taal:Engels
Bindwijze:Gebonden
Herdrukdatum:1-9-2026

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Inhoudsopgave

Preface<br>1. Neural networks with random weights<br>Cira Perna and Michele La Rocca<br>2. Bayesian Neural Networks for Official Statistics: Modeling High-Dimensional Structure in Complex Surveys and Administrative Records<br>Scott H. Holan<br>3. weakly supervised learning for neural networks<br>Wei Wang, Gang Niu and Masashi Sugiyama<br>4. How to test a neural network as a null hypothesis<br>David Bickel<br>5. TBD<br>Soumendu Sundar Mukherjee<br>6. Test-Time Adaptation with Neural Networks: Approaches and Advances in Image Classification<br>Sravan Danda<br>7. Semantics and Verification of Neural Network Components in Robotic Control Software<br>8. Artificial Neural Network Procedures for the Nonlinear Dynamical Plankton System<br>Adnène Arbi Sr. and Walid Ben Ameur<br>9. Neural Networks from Statistical Perspective<br>Qi on Patent - Qi Meng<br>10. Neural Network applications in Assistive and Collaborative Robotics<br>Bingguang Chen<br>11. Neural Network applications in Assistive and Collaborative Robotics<br>Antonella Ferrara, NIKOLAS SACCHI, Gian Paolo Incremona, Edoardo Vacchini and Chiara Alessi<br>12. Neural Networks using SPDEs<br>Hua Li

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        Neural Networks