Decision Making Models
portes grátis
Decision Making Models
A Perspective of Fuzzy Logic and Machine Learning
Pedrycz, Witold; Seyyedabbasi, Amir; Allahviranloo, Tofigh
Elsevier Science Publishing Co Inc
08/2024
300
Mole
Inglês
9780443161476
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Section 1: Decision Making: New Developments
1. Neural networks
2. Artificial intelligent algorithms, motivation and terminology
3. Decision processes
4. Learning theory
Section 2: Metaheuristic Algorithms
5. Nature-inspired algorithms
6. Physic-based algorithms
7. evolution-based algorithms
8. swarm-based algorithms
9. Multi-objective algorithms
10. Unconstrained / constrained nonlinear optimization
11. Evolutionary Computing
Section 3: Optimization Problems
12. Mathematical Programming
13. Discrete and Combinatorial Optimization
14. Optimization and Data Analysis
15. Applied optimization problems
16. Engineering problems
Section 4: Machine Learning
17. Deep Learning
18. (Artificial) Neural Networks
19. Reinforcement Learning Algorithms
20. Classification and clustering
Section 5: Soft Computation
21. Uncertainty theory
22. Fuzzy sets
23. Computation with words
24. Soft modelling
25. Uncertain optimization models
26. Chaos theory and chaotic systems
Section 6: Data Analysis
27. Data mining and knowledge discovery
28. Categories of techniques of data analysis
29. Numerical analysis
30. Risk analysis
Section 7: Fuzzy Decision System
31. Fuzzy Control
32. Approximate Reasoning
33. Effectiveness in Fuzzy Logics
34. Neuro-fuzzy Systems
35. Fuzzy rule-based systems
1. Neural networks
2. Artificial intelligent algorithms, motivation and terminology
3. Decision processes
4. Learning theory
Section 2: Metaheuristic Algorithms
5. Nature-inspired algorithms
6. Physic-based algorithms
7. evolution-based algorithms
8. swarm-based algorithms
9. Multi-objective algorithms
10. Unconstrained / constrained nonlinear optimization
11. Evolutionary Computing
Section 3: Optimization Problems
12. Mathematical Programming
13. Discrete and Combinatorial Optimization
14. Optimization and Data Analysis
15. Applied optimization problems
16. Engineering problems
Section 4: Machine Learning
17. Deep Learning
18. (Artificial) Neural Networks
19. Reinforcement Learning Algorithms
20. Classification and clustering
Section 5: Soft Computation
21. Uncertainty theory
22. Fuzzy sets
23. Computation with words
24. Soft modelling
25. Uncertain optimization models
26. Chaos theory and chaotic systems
Section 6: Data Analysis
27. Data mining and knowledge discovery
28. Categories of techniques of data analysis
29. Numerical analysis
30. Risk analysis
Section 7: Fuzzy Decision System
31. Fuzzy Control
32. Approximate Reasoning
33. Effectiveness in Fuzzy Logics
34. Neuro-fuzzy Systems
35. Fuzzy rule-based systems
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Decision making; intelligent systems; soft computing; fuzzy mathematics; computational intelligence; computational techniques
Section 1: Decision Making: New Developments
1. Neural networks
2. Artificial intelligent algorithms, motivation and terminology
3. Decision processes
4. Learning theory
Section 2: Metaheuristic Algorithms
5. Nature-inspired algorithms
6. Physic-based algorithms
7. evolution-based algorithms
8. swarm-based algorithms
9. Multi-objective algorithms
10. Unconstrained / constrained nonlinear optimization
11. Evolutionary Computing
Section 3: Optimization Problems
12. Mathematical Programming
13. Discrete and Combinatorial Optimization
14. Optimization and Data Analysis
15. Applied optimization problems
16. Engineering problems
Section 4: Machine Learning
17. Deep Learning
18. (Artificial) Neural Networks
19. Reinforcement Learning Algorithms
20. Classification and clustering
Section 5: Soft Computation
21. Uncertainty theory
22. Fuzzy sets
23. Computation with words
24. Soft modelling
25. Uncertain optimization models
26. Chaos theory and chaotic systems
Section 6: Data Analysis
27. Data mining and knowledge discovery
28. Categories of techniques of data analysis
29. Numerical analysis
30. Risk analysis
Section 7: Fuzzy Decision System
31. Fuzzy Control
32. Approximate Reasoning
33. Effectiveness in Fuzzy Logics
34. Neuro-fuzzy Systems
35. Fuzzy rule-based systems
1. Neural networks
2. Artificial intelligent algorithms, motivation and terminology
3. Decision processes
4. Learning theory
Section 2: Metaheuristic Algorithms
5. Nature-inspired algorithms
6. Physic-based algorithms
7. evolution-based algorithms
8. swarm-based algorithms
9. Multi-objective algorithms
10. Unconstrained / constrained nonlinear optimization
11. Evolutionary Computing
Section 3: Optimization Problems
12. Mathematical Programming
13. Discrete and Combinatorial Optimization
14. Optimization and Data Analysis
15. Applied optimization problems
16. Engineering problems
Section 4: Machine Learning
17. Deep Learning
18. (Artificial) Neural Networks
19. Reinforcement Learning Algorithms
20. Classification and clustering
Section 5: Soft Computation
21. Uncertainty theory
22. Fuzzy sets
23. Computation with words
24. Soft modelling
25. Uncertain optimization models
26. Chaos theory and chaotic systems
Section 6: Data Analysis
27. Data mining and knowledge discovery
28. Categories of techniques of data analysis
29. Numerical analysis
30. Risk analysis
Section 7: Fuzzy Decision System
31. Fuzzy Control
32. Approximate Reasoning
33. Effectiveness in Fuzzy Logics
34. Neuro-fuzzy Systems
35. Fuzzy rule-based systems
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
