117 results on '"Munakata, Toshinori"'
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2. Rough Sets
3. Chaos
4. Introduction
5. Genetic Algorithms and Evolutionary Computing
6. Fuzzy Systems
7. Neural Networks: Other Models
8. Amoeba-inspired Tug-of-War algorithms for exploration–exploitation dilemma in extended Bandit Problem
9. A Personal View on AI, Rough Set Theory and Professor Pawlak
10. Rough Control: A Perspective
11. Application of rough set and decision tree for characterization of premonitory factors of low seismic activity
12. Logic programming for combinatorial problems
13. Constraint isomorphism and the generation of stochastic data
14. Chaos computing: implementation of fundamental logical gates by chaotic elements
15. Micro/nanofluidic computing
16. Beyond silicon: new computing paradigms
17. Modified Hopfield-Tank neural networks applied to the 'unitized' maximum flow problem
18. Rule extraction from expert heuristics: A comparative study of rough sets with neural networks and ID3
19. Fuzzy systems: an overview
20. Notes on implementing sets in Prolog
21. AI lessons
22. Commercial and industrial AI
23. Knowledge Discovery.
24. Principles and Applications of Chaotic Systems.
25. New Horizons in Commercial and Industrial AI.
26. Dynamic Initial Allocation and Local Reallocation Procedures for Multiple Stacks.
27. acm forum.
28. Introduction
29. Fuzzy Systems
30. Neural Networks: Other Models
31. A Personal View on AI, Rough Set Theory and Professor Pawlak
32. Neural Networks: Fundamentals and the Backpropagation Model
33. Genetic Algorithms and Evolutionary Computing
34. Rough Sets
35. Chaos
36. Constraint Violations in Stochastically Generated Data: Detection and Correction Strategies
37. Chaos computing: a unified view
38. Amoeba-Based Knowledge Discovery System
39. Logic programming for combinatorial problems
40. Constraint isomorphism and correction algorithms for violations
41. Introduction
42. Flow resistance for microfluidic logic operations
43. Thoughts on Deep Blue vs. Kasparov
44. Chaos.
45. Neural Networks: Other Models.
46. Fuzzy Systems.
47. Rough Sets.
48. Introduction.
49. Genetic Algorithms and Evolutionary Computing.
50. Neural Networks: Fundamentals and the Backpropagation Model.
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