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.
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.
Table of Contents
Preface1. Neural networks with random weights
Cira Perna and Michele La Rocca
2. Bayesian Neural Networks for Official Statistics: Modeling High-Dimensional Structure in Complex Surveys and Administrative Records
Scott H. Holan
3. weakly supervised learning for neural networks
Wei Wang, Gang Niu and Masashi Sugiyama
4. How to test a neural network as a null hypothesis
David Bickel
5. TBD
Soumendu Sundar Mukherjee
6. Test-Time Adaptation with Neural Networks: Approaches and Advances in Image Classification
Sravan Danda
7. Semantics and Verification of Neural Network Components in Robotic Control Software
8. Artificial Neural Network Procedures for the Nonlinear Dynamical Plankton System
Adn�ne Arbi Sr. and Walid Ben Ameur
9. Neural Networks from Statistical Perspective
Qi on Patent Qi Meng
10. Neural Network applications in Assistive and Collaborative Robotics
Bingguang Chen
11. Neural Network applications in Assistive and Collaborative Robotics
Antonella Ferrara, NIKOLAS SACCHI, Gian Paolo Incremona, Edoardo Vacchini and Chiara Alessi
12. Neural Networks using SPDEs
Hua Li
