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

Fuzzy Neural Network hybrid modelling for runoff estimation



Год выпуска: 2011
Автор: Paresh Chandra Deka and Twolde Mirhanu
Издательство: LAP Lambert Academic Publishing
Страниц: 68
ISBN: 9783845477060
Описание
The problem of accurately determining river flows from rainfall, evaporation and other factors, occupies an important place in hydrology as the rainfall-runoff process is believed to be highly non-linear, time varying, spatially distributed and not easily described by simple model. The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techniques among the researchers which is capable of handling non-linear, imprecise, fuzzy, noisy and probabilistic information to solve complex problem in efficient manner. This book, therefore, provide a comprehensive and integrated approach using Fuzzy logic and Artificial neural network techniques in estimating the daily runoff at the outlet of Koga catchment within Blue Nile river basin in Ethiopia. The methodology and results were analysed for different input scenarios. The analysis should be especially useful to the Hydrologist, civil engineering students, field engineers and researchers who may be...


Похожие книги

  1. Stamatios V. Kartalopoulos. Understanding Neural Networks and Fuzzy Logic. – М.: , 1995. – 232 с.
  2. Timothy Masters. Neural, Novel & Hybrid Algorithms for Time Series Prediction. – М.: , 1995. – 544 с.
  3. Faiq M. Sarhan Alzwainy,Rafa H. Al-Suhaily and Zuhair M. Saco. Project Management and Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2015. – 288 с.
  4. Adel El Shahat. Artificial Neural Network (ANN). – М.: Scholars Press, 2014. – 192 с.
  5. Jagannath Singh and Bibhudatta Sahoo. Software Effort Estimation Using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.
  6. Selcuk Caylar. A Novel Neural Network Based Direction Of Arrival Estimation Algorithm. – М.: LAP Lambert Academic Publishing, 2010. – 124 с.
  7. Yujia Zhai and Dingli Yu. Advanced Neural Network based Control for Automotive Engines. – М.: LAP Lambert Academic Publishing, 2012. – 180 с.
  8. Harikumar Rajaguru,Ganesh Babu Chidambaram and Vinoth kumar Bojan. FPGA Fuzzy (PD & PID) Controller Models for Insulin Pumps In Diabetes. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  9. Jagadeesh Anmala. Rainfall-Runoff Modeling Using Artificial Neural Networks. – М.: LAP Lambert Academic Publishing, 2010. – 200 с.
  10. Jerzy Szczepanik. NEURAL NETWORK MODEL OF ELECTRICAL DRIVE. – М.: LAP Lambert Academic Publishing, 2010. – 144 с.
  11. Mohammad Ebrahim Banihabib,Azar Arabi,Ali A. Salha and Ali Rahimikhoob. Artificial Neural Network Model of Maximum Temperature Using NOAA data. – М.: LAP Lambert Academic Publishing, 2014. – 92 с.
  12. Paresh Chandra Deka and Twolde Mirhanu. Fuzzy Neural Network hybrid modelling for runoff estimation. – М.: LAP Lambert Academic Publishing, 2011. – 68 с.
  13. Paresh Chandra Deka and V Chandramoulli. Fuzzy logic and artificial neural network for hydrological modeling. – М.: LAP Lambert Academic Publishing, 2011. – 184 с.
  14. Juli Majumder and Rumana Rois. An Application of Artificial Neural Network Model in GDP Forecasting. – М.: LAP Lambert Academic Publishing, 2013. – 100 с.
  15. Ritu Vijay. Time Series Analysis using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 60 с.
  16. Meriem Djennas,Mustapha Djennas and Mohamed Benbouziane. A Neural Network-Genetic Algorithm Hybrid Model for Forecasting. – М.: LAP Lambert Academic Publishing, 2012. – 56 с.
  17. Ayodele Adebiyi. A Model for Stock Price Prediction using the Soft Computing Approach. – М.: LAP Lambert Academic Publishing, 2012. – 176 с.

Образцы работ

Тема и предметТип и объем работы
Этапы формирования теории президентства
История государства и права
Курсовая работа
30 стр.
Привлекательности труда в организации
Психология
Курсовая работа
35 стр.
Коммерческие банки как субъект кредитного рынка, их операции и сделки
Банковский менеджмент
Диплом
87 стр.
Математические модели океанических течений
Переводоведение (теория перевода)
Курсовая работа
42 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
Лера, 03.04
Еще раз спасибо Вам большое.