| ISBN13: | 9781032635088 |
| ISBN10: | 1032635088 |
| Kötéstípus: | Keménykötés |
| Terjedelem: | 360 oldal |
| Méret: | 234x156 mm |
| Nyelv: | angol |
| Illusztrációk: | 105 Illustrations, black & white; 23 Halftones, black & white; 82 Line drawings, black & white; 66 Tables, black & white |
| 700 |
Valószínűségelmélet és matematikai statisztika
A mérnöki tudományok általános kérdései
Villamosmérnöki tudományok, híradástechnika, műszeripar
Rendszerszervezés
Számítógépes programozás általában
Környezetmérnöki tudományok
Terméktervezés
Valószínűségelmélet és matematikai statisztika (karitatív célú kampány)
A mérnöki tudományok általános kérdései (karitatív célú kampány)
Villamosmérnöki tudományok, híradástechnika, műszeripar (karitatív célú kampány)
Rendszerszervezés (karitatív célú kampány)
Számítógépes programozás általában (karitatív célú kampány)
Környezetmérnöki tudományok (karitatív célú kampány)
Terméktervezés (karitatív célú kampány)
Multi-Criteria Decision-Making and Optimum Design with Machine Learning
GBP 130.00
Kattintson ide a feliratkozáshoz
As Multi-Criteria Decision-Making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design.
As Multi-Criteria Decision-Making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design.
1. Innovations in Technical Methodologies - Advancing Decision-Making and Optimization. 2. Review of Fuzzy Systems for Multi-Criteria Optimization Tools: Applications in Engineering Design. 3. Optimizing Ti-6Al-4V Milling Under MQL Conditions Using SVR, NSGA-II & TOPSIS. 4. Decision of 3D Printing Parameters for Optimum Tensile Strength Using the Taguchi-based Response Surface Method. 5. An Enhanced Network Optimization using the Max product for Multi-Criteria Decision Making. 6. Optimizing surface roughness of H13 steel machined by wire EDM technique. 7. Impact toughness of PBT/PA6 composite reinforced with glass fibers. 8. The effect of chamber temperature on the flexural strength of thermoplastic polyurethane plastic via FDM technology. 9. Enhancement in Underwater Imagery Using Multi-Criteria Decision Making with Machine Learning Techniques. 10. Optimal Site Selection of Electric Vehicle Charging Station Based on AHP-VIKOR method. 11. Optimum Indices on Topological Intuitionistic Fuzzy Graph. 12. Advancements in Multi-Criteria Decision Making: Exploring Innovative Approaches. 13. Overview of Machine Learning Techniques for Multi-Criteria Decision-Making. 14. Multi-Criteria Decision-Making Analysis on Selection of Electric Vehicle Power Station Location Using Neutrosophic TOPSIS Method. 15. MCDM Modeling using Machine Learning via Spherical Neutrosophic Similarlity Measures. 16. A Study On Machine Learning Twig Graphs On The Hyper Wiener Index Of Complete Graph. 17. Enhancing Multi-Criteria Decision Making through Cryptographic Security Systems. 18. AI-Powered Decision-Making Applications for Sustainable Development. 19. Interface for the Empirical Analysis of Artificial Intelligent Algorithms for Better Decision Making. 20. Multi-Criterion Analysis of Fusion Sort: A Hybrid Approach to Sorting Algorithms. 21. Cruising through the choices: Unraveling destination decision-making dilemmas with social networks ? A dynamic exploration via MCDM technique. 22. Analysis of Outcome-Based Education among Students by MCDM Algorithm. 23. Identifying Best Teacher Awardee using MCDM Algorithm. 24. Lumpy Skin Disease Prediction Using Machine Learning.
