Tiếng Việt

Một phần của tài liệu Nghiên cứu ứng dụng mạng nơ ron tế bào CNN trong việc giải phương trình vi phân đạo hàm riêng (Trang 116 - 122)

1. Hoàng Văn Lai, Nguyễn Thế Hùng (2006) " Áp dụng tính toán song song trong mô hình thủy lực hai chiều”, Kỷ yếu Hội thảo kỷ niệm 30 năm thành lập Viện Công nghệ thông tin- Viện KH&CN Việt Nam, Tr. 59-66.

2. Hoàng Văn Lai, Nguyễn Tuấn Anh, Nguyễn Tiến Cường, Trần Thu Hà, Lê Thu Hoài, Nguyễn Bá Hưng, Dương Thị Thanh Hương và Lê Hồng Phong, (2010), “Xây dựng và áp dụng các phần mềm thuỷ văn, thuỷ lực phục vụ kiểm soát lũ lụt ở đồng bằng sông Hồng”, Kỷ yếu Hội nghị khoa học Kỷ niệm 35 năm thành lập Viện Khoa học và Công nghệ Việt Nam, Tr. 62-71. 3. Phạm Thượng Cát, (2006), “Công nghệ mạng nơ ron tế bào và khả năng ứng

dụng trong các hệ cơ điện tử” Tuyển tập Hội nghị toàn quốc lần thứ 3 về Cơ điện tử VCM2006, NXB Đại học Quốc gia Hà nội, Tr. 33-42.

4. Phạm Thượng Cát, (2007), Máy tính vạn năng mạng nơ ron tế bào CNN UM: Một hướng phát triển mới của công nghệ thông tin”,Kỷ yếu Hội nghị Khoa học 30 năm thành lập Viện Công nghệ Thông Tin. NXB Khoa học Tự nhiên và Công nghệ, Tr. 239-250.

5. Tạ Văn Đĩnh, (2002) ”Phương pháp sai phân và phương pháp phần tử hữu hạn” NXB Khoa học và Kỹ thuật. Hà Nội.

6. Nguyễn Thương Ngô, (2003), “Lý thuyết điều khiển tự động thông thường và hiện đại” , NXB Khoa học Kỹ thuật. Hà Nội.

2. Tiếng Anh

7. A Dang Q.,Ehrhardt M. (2006) “Adequate Numerical Solution of Air-Pollution Problems by Positive Difference Schemes on Unbounded Domains”,

Mathematical and Computer Modelling, 44, PP. 834-856.

8. Arena P., Fortuna L.,Lombardo D., Pantané L., (2008), “CNN and Collective perception” Proceeding of 11th Internatonal Workshop on CNN and their Applications, (CNNA2008), PP. 186-191.

9. Besancon G.,Dulhoste J.F.,Georges D. (2001), “Nonlinear Observer Design for Water Level Control in Irrigation Canals” Proceedings of the 40th IEEE Conference on Decision and Control, Orlando, Florida USA, PP. 4968-4973.

10. Boroushaki M.,Ghofrani M.B.,Lucas C. (2005), "Simulation of Nuclear Reactor Core Kinetics Using Multilayer 3-D Cellular Neural Networks", IEEE Transactions on Nuclear Science, 52(3), PP. 719-728.

11. Chen J., Shi Z., Hu Y. (2008), "A Comparative Study of High- Resolution Central Scheme for Solving the 2D Shallow Water Equations" Bioinforma- tics and Biomedical Engineering. ICBBE2008, International Conf., 2, PP. 4629-4632.

12. Chua L. O., Yang L. (1988), "Cellular Neural Networks: Theory", IEEE Transaction on Circuits and System,35 (10), pp. 1257-1272.

13. Chua L.O., L. Yang, (1988), "Cellular Neural Networks: Application", IEEE Trans. Circuits and System 35, PP. 1273-1290.

14. Funabash M.,Haruna K. (1971), “A Mathematical Model for Air Pollution Control in Urban Area”, Conf. on Decision and Control 10,(1), PP. 591-595. 15. Geese M., Tetzlaff R., Carl D., Blug A., Hõfler H. (2008), “ High-speed Visual

Control of Laser Welding Process by Celluar Neural Networks”, Proceeding of 11th Internatonal Workshop on CNN and their Applications, (CNNA2008),

PP. 196-2001.

16. Georges D. (1995), “Nonlinear Implicit State-Observer Design for the Monitoring of Open-Channel Hydraulic System” IEEE International Conference on Systems, Man and Cybernetics, 4, PP. 3772-3777.

17. Georges D.,Dulhoste I.F.,Besancon G. (2002), “A note on feedback Linearizing Control for Open-Channel Hydraulic System”, Conference on Control Application, Glasgow, Scotland UK, PP. 675-680.

18. Gilli M.,Roska T.,Chua L.O.,Civalleri P.P (2002), “CNN dynamics represents a broader class than PDEs” International Journal of Bifurcation and Chaos, 2(10) World Scientific Publishing Company, PP. 2051-2068.

19. Gollas F., Tetzlaff R. (2008), “Analysis of EEG Signals in Epilepsy: Spation- Temporal Models”, Proceeding of 11th Internatonal Workshop on CNN and their Applications, (CNNA2008), PP. 96-101

20. Hadad K., Piroozmand A., (2007) “Application of Cellular Neural Network (CNN) Method to the Nuclear Reactor Dynamics Equations”, Annals of Nuclear Energy,34(5), PP. 406-416.

21. Hamroun B.,Lefe’vre L.,Mendes E. (2007), “Port - Based Modelling and Geometric Reduction for Open Channel Irrigation Systems” Proceedings of the 46th IEEE Conference on Decision and Control, New Orlands, LA-USA, PP. 1578-1583.

22. Kis A.,Vásárelyi (2008), “ Developing System to Detect and Analyse Spatio- temoral Tacticle Events”, Proceeding of 11th Internatonal Workshop on CNN and their Applications, (CNNA2008), PP. 10-11.

23. Kocsárdi S.,Nagy Z.,Csík A.,Szolgay P. (2008), “Two-Dimensional Compress- ible Flow on Emulated Digital CNN-UM”, Proceeding of 11th Internatonal Workshop on CNN and their Applications, PP. 169-174.

24. Lo’pez P.,Vilarino D.L.,Cabello D.,Sahli H.,Balsi M. (2002), “CNN - Based 3D Thermal Modelling of the Soil for Antipersonnel Mine Detection”,

Proceedings of the 7th IEEE International Workshop on Cellullar Neural Networks and Their Applications (CNNA2002), PP. 307-314.

25. Loncar A., Tetzlaff R. (2000), “Cellular Neural Network with Nearly Arbitrary Nonlnear Weight Function”, Proceedings of the 6th IEEE International Workshop on CNN and their Application,(CNNA2000), PP. 171-176.

26. Lin´an G.,Castro R. D.,Espejo S.,V´azquez A. R. (2001), “ACE16k: A Programmable Focal Plane Vision Processor With 128×128 Resolution”,

Proc. of the 15th European Conf. on Circuit Theory and Design, 1, PP. 345- 348.

27. Munũuzuri P.A., Vázquez-Otero A. (2008) “The CNN Solution to the Shortest- Path-Finder Problem” Proceeding of 11th Internatonal Workshop on CNN and their Applications, (CNNA2008), PP. 248-251.

28. Nagy Z.,Szolgay P. (2004), "Emulated Digital CNN-UM Implementation of a Barotropic Ocean Model", Proceeding 2004 IEEE International Joint Conference, 4, PP. 101-108.

29. Ouarit H.,Lefèvre L.,Georges D. and Begovich O. (2003), “A Way to Deal with Nonlinear Boundary Condition in Open-Channel Optimal Control Problems”

Proceeding of the 42nd IEEE Conference on Decision and Control, Maui, Hawaii, USA, PP. 336-341.

30. Pardo F., L’opez P., Cabello D. (2008) “Application on the Non-Destructive Soil Inspection” Proceeding of 11th Internatonal Workshop on CNN and their Applications, (CNNA2008), PP. 11-16

31. Puffer F.,Tetzlaff R.,Wolf D. “A Learning Algorithm for Cellular Neural Network (CNN) Solving Nonlinear Partial Differential Equations”, IEEE Trans. Circuits System, 42 (10), PP.501-504.

32. Roska T.,Chua L.O.,Wolf D.,Kozek T.,Tetzlaff R.,Puffer F. (1995) “Simulating Nonlinear Waves and Partial Differential Equations via CNN- Part I: Basic Techniques” IEEE Trans. Circuits System, 42(10) 807-815.

33. Roska T.,Chua L.O. (1993), "The CNN Universal Machine: An Analogic Array Computer", IEEE Transaction on Circuits and System-II: Analog and Digital Signal Processing, 40 (3), PP. 163-173.

34. Roska T.,Chua L.O. (2003), “The CNN Universal Machine: 10 years later”

Journal of Circuits, System and Computers, 12 (4), PP. 377-388.

35. Slavova A. (2008), “CNN and Collective Perception” Proceeding of 11th Internatonal Workshop on CNN and their Applications, (CNNA2008),

PP.181-185.

36. Sonkoly P.,Kozma P.,Nagy Z.,Szolgay P. (2006), “Acoustic Wave Propagation Modeling on 3D CNN-UM Architecture”, Proceeding of the 10th International Workshop on Cellular Neural Networks and their Applications, (CNNA2006), PP. 1-6

Sensing Cellular Computer”, Proceeding of the 10th International Workshop on Cellular Neural Networks and their Applications, (CNNA2006), PP. 12-17 38. Voroshazi Z., Kiss A., Nagy Z.,Szolgay P. (2008) “A Standalone FPGA Based Emulated-Digital CNN-UM System” Proceeding of 11th International Workshop on CNN and their Applications, (CNNA2008) PP. 4-5.

39. Yeniceri R.,Yalcm M. E. (2008), “ A Programmable Hardware for Exploring Spatiotemporal Waves in Real-time”, Proceeding of 11th Internatonal Workshop on CNN and their Applications, (CNNA2008), PP. 7-9.

40. Zhi X.,Lu X. (2002) “Universal Parallel Numerical Computing for 3D Convect- ion-Diffusion Equation with Variable Coefficients”, Proceedings of the 5th International Conference on Algorithms and Architectures for Parallel Processing, PP. 54 -59.

41. Chua L.O.,Roska T. (2000), “Cellular Neural Networks and Visual Computing” (ISBN 0-521-65247-2), Cambridge University Press.

42. Sastry S., (2003), Nonlinear Systems, Analysis, Stability and Control, (ISBN 0- 387-98513-1), Springer Publisher, Berlin, Germany.

43. Sargeni F., Bonaiuto V. (2005), Programmable CNN Analogue Chip for RD- PDE Multi-Method Simulations, (ISSN 0925-1030) Kluwer Academic Publisher, USA.

44. Shabani A., Menhaj M.B., Tabrizi H. B., (1999), Modeling of Thermal Two Dimensional Free Turbulent Jet by a Three layers Two Time Scale Cellular Neural Network, (ISBN 978-3-540-66050-7) Springer Publisher, Berlin, Germany.

45. Slavova A. (2003), Cellular Neural Networks: Dynamics and Modeling, Kluwer Academic Publishers (ISBN 1-4020-1192-X), Dordrecht, The Netherlands.

46. Kék L.,Karacs K., Roska T. (2007), Cellular Wave Computing Library, ver 2.1. Cellular Sensory wave computer Laboratory Hungarian Academy of Sciences Budapest, Hungary.

47. Đang Q. A., Ehrhardt M., Tran G.L., Le D. (2007), Air Pollution Research Advances, (Chapter 8: On the numerical solution of some problems of envi- romental pollution), Nova Science Publisher, (ISBN 978-1-60021-806-4). 48. Goutal N. "Presentation of 1D and 2D simulations of Malpasset dam break

wavepropagation", http://www.hrwallingford.co.uk.

49. Nagy Z., Szolgay P. (2005) "Emulated Digital CNN-UM Implementation of a 3-Dimensional Ocean Model on FPGAs" Proceedings of the 8th Military and Aerospace Programmable Logic Devices International Conference, (MAPLD2005), Wasgington DC., USA,http://klabs.org/mapld05/abstracts.

PHỤ LỤC

Một phần của tài liệu Nghiên cứu ứng dụng mạng nơ ron tế bào CNN trong việc giải phương trình vi phân đạo hàm riêng (Trang 116 - 122)