Написать рефераты, курсовые и дипломы самостоятельно.  Антиплагиат.
Студенточка.ru: на главную страницу. Написать самостоятельно рефераты, курсовые, дипломы  в кратчайшие сроки
Рефераты, курсовые, дипломные работы студентов: научиться писать  самостоятельно.
Контакты Образцы работ Бесплатные материалы
Консультации Специальности Банк рефератов
Карта сайта Статьи Подбор литературы
Научим писать рефераты, курсовые и дипломы.


подбор литературы периодические источники литература по предмету

Neural network based solution for choice of best webservices



Год выпуска: 2012
Автор: Shweta Roy
Издательство: LAP Lambert Academic Publishing
Страниц: 128
ISBN: 9783659244599
Описание
ART1 (adaptive resonance network) based neural network has been used for the purpose of discovering Web services of interest based on service classification. Non-functional properties of Web services can significantly improve the probability of having relevant output results. To achieve this task, we used the publicly available QWS Dataset as inputs for the neural network. The feature set is mainly dependent on several factors such as response time, throughput, availability, compliance, among others. Results show that there exists a relationship between possible non-functional properties in spit of non-uniform metrics. The use of neural networks provides a way to optimize the selection of the best available Web service. The average performance rate of the neural network is 92%. In all of the three trials conducted for testing this system, the neural network always converged into a solution which suggests that the use of neural networks in discovering the most suitable Web service...


Похожие книги

  1. NATO Advanced Research Workshop on Science for Reduction of Risk and s, Alik Ismail-Zadeh. Risk Science and Sustainability: Science for Reduction of Risk and Sustainable Development for Society (NATO SCIENCE SERIES II MATHEMATICS, PHYSICS AND CHEMISTRY). – М.: , 0. – 0 с.
  2. Jeffrey A. McNeely, International Union for Conservation of Nature and Natural Resources, Ve World Congress on National Parks and Protected Areas 1992 Caracas. Expanding Partnerships in Conservation. – М.: , 0. – 0 с.
  3. Anthony H. J. Dorcey, Tony Dorcey, International Union for Conservation of Nature and Natural Resources, World Bank Group. Large Dams: Learning from the Past, Looking at the Future. – М.: , 0. – 0 с.
  4. D HALLIDAY. Halliday: Selected ?solutions? For ?fundamentals? Of Physics 2ed Revised (pr Only). – М.: , 1986. – 554 с.
  5. Selcuk Caylar. A Novel Neural Network Based Direction Of Arrival Estimation Algorithm. – М.: LAP Lambert Academic Publishing, 2010. – 124 с.
  6. Yujia Zhai and Dingli Yu. Advanced Neural Network based Control for Automotive Engines. – М.: LAP Lambert Academic Publishing, 2012. – 180 с.
  7. Suhaas Bhargava Ayyagari. Artificial Neural Network Based Fault Location For Transmission Lines. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.
  8. Sudipta Bhattacharjee,Debasis Deb and Samir Pal. Wireless Sensor Network for Monitoring of Roof Vibration in Mines. – М.: LAP Lambert Academic Publishing, 2014. – 124 с.
  9. Arjun C .R. Neural Network-Based Estimation of Strong Ground Motion Parameters. – М.: LAP Lambert Academic Publishing, 2013. – 88 с.
  10. Jagadeesh Anmala. Rainfall-Runoff Modeling Using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 200 с.
  11. Jerzy Szczepanik. NEURAL NETWORK MODEL OF ELECTRICAL DRIVE. – М.: LAP Lambert Academic Publishing, 2010. – 144 с.
  12. Abdurahman Nour,Hernawati Lahading and Rosli Yunus. Chitosan Based Adsorbent for Removal of Oil from Industrial Wastewater. – М.: LAP Lambert Academic Publishing, 2011. – 128 с.
  13. Muhammad Atta Othman A. Khfagy. Artificial Neural Networks Applied For Digital Images with Matlab Code. – М.: LAP Lambert Academic Publishing, 2014. – 152 с.
  14. Ali Lemus. Characteristics of Neural Networks based on Energy Functions. – М.: LAP Lambert Academic Publishing, 2013. – 88 с.
  15. Venkata Ramana Kurama. Neural Network Based Classification and Diagnosis of Brain Hemorrhages. – М.: LAP Lambert Academic Publishing, 2012. – 208 с.
  16. Shweta Roy. Neural network based solution for choice of best webservices. – М.: LAP Lambert Academic Publishing, 2012. – 128 с.
  17. Kota Venkata Ramanaiah. VLSI Architectures for Neural Network Based Image Compression. – М.: , 2015. – 124 с.

Образцы работ

Тема и предметТип и объем работы
Особенности виртуального общения
Психология
Курсовая работа
28 стр.
Лингвистика
Лингвистика
Диплом
69 стр.
Порядок разработки, проектирования системы стратегического менеджмента
Менеджмент
Диплом
100 стр.
Привлекательности труда в организации
Психология
Курсовая работа
35 стр.



Задайте свой вопрос по вашей теме

Гладышева Марина Михайловна

marina@studentochka.ru
+7 911 822-56-12
с 9 до 21 ч. по Москве.
Контакты
marina@studentochka.ru
+7 911 822-56-12
с 9 до 21 ч. по Москве.
Поделиться
Мы в социальных сетях
Реклама



Отзывы
Николай
Огромное спасибо за Вашу помощь в сопровождении дипломной работы!!! Я защитился на отлично, удачи в Ваших дальнейших делах!!!