Литература

  1. [Argonne99] A. S. Bondarenko, D. M. Bortz, and J. J. More, COPS: Large-Scale Nonlinearly Constrained Optimization Problems. Technical Memorandum ANL/MCS-TM-237, Sept. 1998, revised Oct. 1999.
    URL: ftp://info.mcs.anl.gov/pub/tech_reports/reports/TM237.ps.Z
  2. [Annl2000] С.А.Терехов, Т.А.Мухамадиева, Н.Н.Федорова, Е.В.Диянкова, С.А.Диянкова, А.В.Квичанский, Р.Ф.Мухамадиев. Подход к моделированию элементов магистрального газопровода на основе искусственных нейронных сетей. Радиоэлектроника. Информатика. Управление. № 1, 2000. С.116-122.
  3. [Bishop95] Chris M. Bishop. (1995) Neural Networks for Pattern Recognition. Oxford University Press.
  4. [DELVE] DELVE Project Home Page.
    URL: http://www.cs.toronto.edu/~delve/data/datasets.html
  5. [ELENA] ELENA Project Home Page. Mantained by John A. Lee. Last updated 05/04/2000.
    URL: http://www.dice.ucl.ac.be/neural-nets/Research/Projects/ELENA/elena.htm
  6. [Fahlman88] Fahlman S.E. An empirical study of learning speed in back-propagation networks. Technical report, CMU-CS-88-162, Carnegie-Mellon University, 1988.
  7. [Friedman88] Jerome H. Friedman. Multivariate Adaptive Regression Splines, technical Report No. 102, November 1988, Laboratory for Computational Statistics, Department of Statistics, Stanford University.
  8. [Gorban96] Горбань А.Н., Россиев Д.А. Нейронные сети на персональном компьютере. Новосибирск: Наука, 1996. - 276 с.
  9. [Dennis88] Дэннис Дж., Шнабель Р. Численные методы безусловной оптимизации и решения нелинейных уравнений. - М.: Мир, 1988.
  10. [Dietterich95] Tom Dietterich. Experimental Methodology for Benchmarking. Oregon State Univ.
    URL: http://wwwipd.ira.uka.de/~prechelt/nipsbench/expmeth.ps.gz
  11. [Kohonen95] T.Kohonen. Self-organizing Maps. Springer, 1995
  12. [MLRepository] Blake, C.L. & Merz, C.J. (1998). UCI Repository of machine learning databases. Irvine, CA: University of California, Department of Information and Computer Science.
    URL: http://www.ics.uci.edu/~mlearn/MLRepository.html
  13. [NEUFODI] NEUFODI Project Home Page.
    URL: http://www.ai.univie.ac.at/oefai/nn/neufodi.html
  14. [Nettalk] Nettalk database.
    URL: http://www.cs.cmu.edu/
  15. [Nimfa97] Программный комплекс Nimfa. Техническое описание пакетного языка заданий. Отчет по проекту МНТЦ 031, Снежинск, 1997.
  16. [Prechelt95] Lutz Prechelt. Some Notes on Neural Learning Algorithm Benchmarking. Neurocomputing 9(3):343-347, December 1995
    URL: http://wwwipd.ira.uka.de/~prechelt/Biblio/neurocomp95.ps.gz
  17. [Prechelt] Lutz Prechelt. NIPS Benchmarking Home Page
    URL: http://wwwipd.ira.uka.de/~prechelt/NIPS_bench.html
  18. [Riedmiller93] Riedmiller M., Braun H. A direct adaptive method for faster backpropagation learning: The RPROP algorithm. In H. Ruspini, editor, Proceedings of the IEEE International Conference on Neural Networks (ICNN), pages 586 - 591, San Francisco, 1993.
  19. [Rummelhart86] Rummelhart D.E., Hinton G.E., Williams R.J. Learning internal representations by error propagation. In D.E. Rumelhart and J.L. McClelland, editors, Parallel Distributed Processing, Vol. I Foundations, pages 318-362. MIT Press, Cambridge, MA, 1986.
  20. [SIENA] SIENA Project Home Page.
    URL: http://www.augusta.co.uk/siena/
  21. [SIENACases] SIENA Case Studies of Successful Applications.
    URL: http://www.mbfys.kun.nl/SNN/siena/cases/shell.html
  22. [Sejnowski87] Sejnowski, T.J., and Rosenberg, C.R. Parallel networks that learn to pronounce English text. Complex Systems, 1, 145-168, 1987
  23. [StatLog99] Esprit 2 Project StatLog (No.5170). Evaluation / Characterization of Classification Algorithms. Mantained by P.Brazdil. Last update March 1999.
    URL: http://www.ncc.up.pt/liacc/ML/statlog/
  24. [Terekhoff98] С.А. Терехов. Нейросетевые информационные модели сложных инженерных систем. Глава 4 в кн. А.Н.Горбань, В.Л.Дунин-Барковский, А.Н.Кирдин, Е.М.Миркес, А.Ю.Новоходько, Д.А.Россиев, С.А.Терехов, М.Ю.Сенашова, В.Г.Царегородцев. Нейроинформатика. Новосибирск, Наука, 1998.
  25. [URLs] Другие коллекции данных в Интернет
    URL: http://lib.stat.cmu.edu/datasets/
    URL: http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/
    URL: http://www.cs.cmu.edu/afs/cs.cmu.edu/project/ai-repository/ai/html/other/repositories.html
    URL: http://www.cs.hun.edu.tr/~sever/


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