Artificial Neural Networks recent advances, new perspectives and applications
This book examines artificial neural networks (ANNs) and their applications in various fields. Chapters address ANNs and deep learning techniques for real-world applications in health care, materials processing, energy management, and more.
Otros Autores: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
London :
IntechOpen
2023.
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Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009746480106719 |
Tabla de Contenidos:
- 1. Artificial Intelligence at the Service of Medical Imaging in the Detection of Breast Tumors
- By Alio Boubacar The Best Of Alio Boubacar
- 2. Pre-Informing Methods for ANNs
- By Mustafa Turker 81
- 3. Artificial Neural Network Logic-Based Reverse Analysis with Application to COVID-19 Surveillance Dataset
- By Hamza Abubakar and Muntari Idris 17
- 4. Industrial Fluids Components Health Management Using Deep Learning
- By Vidyadevi G. Biradar, HC Nagaraj, SG Mohan and Piyush Kumar Pareek 28
- 5. Determination of the Elastic Constants of a Metal-Laminated Composite Material Using Artificial Neural Networks
- By Marta Eraña-Díaz and Mario Acosta-Flores 33
- 6. Optical Soliton Neural Networks
- By Eugenio Fazio, Alessandro Bile and Hamed Tari 45
- 7. Application of Artificial Neural Network in Solar Energy
- By Bin Du and Peter D. Lund
- 83
- 8. Modeling a Petrochemical Unit with Artificial Neural Networks (ANN) 16.