Artificial neural networks : : recent advances, new perspectives and applications / / edited by Patrick Chi-Leung Hui.
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.
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| Place / Publishing House: | London : : IntechOpen,, [2023] ©2023 |
| Year of Publication: | 2023 |
| Language: | English |
| Series: | Artificial intelligence
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| Physical Description: | 1 online resource (154 pages). |
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Table of Contents:
- 1. Artificial Intelligence at the Service of Medical Imaging in the Detection of Breast Tumors-- By Alio Boubacar Goga 24
- 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, H.C. Nagaraj, S.G. 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.