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by Francisco Sandoval,Alberto Prieto,Joan Cabestany,Manuel Graña

  • ISBN: 3540730060
  • Category: Technology
  • Author: Francisco Sandoval,Alberto Prieto,Joan Cabestany,Manuel Graña
  • Subcategory: Computer Science
  • Other formats: docx txt rtf lrf
  • Language: English
  • Publisher: Springer; 2007 edition (July 20, 2007)
  • Pages: 1167 pages
  • FB2 size: 1882 kb
  • EPUB size: 1762 kb
  • Rating: 4.7
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Download Computational and Ambient Intelligence: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, ... (Lecture Notes in Computer Science) fb2

Francisco Sandoval, Francisco Sandoval, Alberto Prieto, Joan Cabestany, Manuel Graña. This book constitutes the refereed proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, held in San Sebastián, Spain in June 2007

Francisco Sandoval, Francisco Sandoval, Alberto Prieto, Joan Cabestany, Manuel Graña. This book constitutes the refereed proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, held in San Sebastián, Spain in June 2007.

Request PDF On Jan 1, 2007, Francisco Sandoval Hernández and others published Computational and Ambient Intelligence, 9th . 118+ million publications.

118+ million publications.

IWANN: International Work-Conference on Artificial Neural Networks. algorithms ambient intelligence fuzzy fuzzy system fuzzy systems genetic algorithms intelligence kernel method learning machine learning neural networks proving robot robotics speech processing. Computational and Ambient Intelligence. 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007. Bibliographic information.

Arturo Berrones (auth

Arturo Berrones (auth. Francisco Sandoval, Alberto Prieto, Joan Cabestany, Manuel Graña (ed. We present in this volume the collection of finally accepted papers for the ninth e- tion of the IWANN conference ( International Work-Conference on Artificial Neural Networks ). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evo- tionary systems).

Francisco Sandoval, Alberto Prieto, Joan Cabestany, Manuel Graña

Francisco Sandoval, Alberto Prieto, Joan Cabestany, Manuel Graña. This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evo- tionary systems)

Science) (Lecture Notes in Computer Science) The 145 revised full papers presented together with 3 invited lectures were.

Science) (Lecture Notes in Computer Science).

Computational and Ambient Intelligence Francisco Sandoval; Alberto Prieto; Joan Cabestany Springer 9783540730064 : Constitutes the refereed proceedings of the 9th International Work-Conference. Дата издания: 2007 Серия: Lecture notes in computer science, theoretical computer science and general issues Язык: ENG Иллюстрации: Biography Размер: 2. 2 x 1. 3 x . 1 cm Читательская аудитория: Professional & vocational Подзаголовок: 9th international work-conference on artificial neural networks, iwann 2007, san sebastian, spain, june 20-22, 2007, proceedings Рейтинг

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Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastian, Spain, June 20-22, 2007.

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Computational and Ambient Intelligence 9th International Work-Conference on Artificial .

Computational and Ambient Intelligence 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007. Proceedings /. We present in this volume the collection of finally accepted papers for the ninth e- tion of the IWANN conference ( International Work-Conference on Artificial Neural Networks ) Full description.

This book constitutes the refereed proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, held in San Sebastián, Spain in June 2007. Coverage includes theoretical concepts and neurocomputational formulations, evolutionary and genetic algorithms, data analysis, signal processing, robotics and planning motor control, as well as neural networks and other machine learning methods in cancer research.



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