Buch, Englisch, Format (B × H): 152 mm x 229 mm, Gewicht: 1000 g
Artificial Neural Networks for Engineering Applications
Buch, Englisch, Format (B × H): 152 mm x 229 mm, Gewicht: 1000 g
ISBN: 978-0-443-15252-8
Verlag: Elsevier Science & Technology
Those who have not had the opportunity to study or implement neural networks before will find this book very easy to follow. It covers the basic network theory and how to formulate and apply neural networks to real-world problems. Plenty of examples based on real engineering problems and solutions are included to help readers better understand important concepts.
Fachgebiete
- Technische Wissenschaften Bauingenieurwesen Konstruktiver Ingenieurbau, Baustatik
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Bauingenieurwesen Mathematische Methoden, Computeranwendungen (Bauingenieurwesen)
Weitere Infos & Material
1. Autonomous Design of Reinforced Concrete Beams and Columns Based on Artificial Neural Networks 2. Understanding artificial neural networks (ANNs): analogy to the biological neuron model 3. Factors influencing network trainings 4. Forward and backpropagation for artificial neural networks 5. Training methods: designs based on training entire data (TED), parallel training method (PTM), chained training scheme (CTS), and chained training scheme with revised sequence (CRS) 6. Singly reinforced concrete beams based on artificial neural networks 7. Design of Doubly Reinforced Concrete Beams based on Artificial Neural Network 8. Design of reinforced columns based on artificial neural networks
APPENDIX A. Manual to use MATLAB for training artificial neural networks (ANNs) B. MATLAB code for Revise Scenario 4 of Table 8.3