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Development of Artificial Neural-Network-Based Models for the Simulation of Spring Discharge
المؤلفون المشاركون
Srivastava, R. K.
Kumar, Anil
Bisht, Dinesh C. S.
Raju, M. Mohan
Sharma, H. C.
المصدر
Advances in Artificial Intelligence
العدد
المجلد 2011، العدد 2011 (31 ديسمبر/كانون الأول 2011)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2011-09-06
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
علوم
الملخص EN
The present study demonstrates the application of artificial neural networks (ANNs) in predicting the weekly spring discharge.
The study was based on the weekly spring discharge from a spring located near Ranichauri in Tehri Garhwal district of Uttarakhand, India.
Five models were developed for predicting the spring discharge based on a weekly interval using rainfall, evaporation, temperature with a specified lag time.
All models were developed both with one and two hidden layers.
Each model was developed with many trials by selecting different network architectures and different number of hidden neurons; finally a best predicting model presented against each developed model.
The models were trained with three different algorithms, that is, quick-propagation algorithm, batch backpropagation algorithm, and Levenberg-Marquardt algorithm using weekly data from 1999 to 2005.
A best model for the simulation was selected from the three presented algorithms using the statistical criteria such as correlation coefficient (R), determination coefficient, or Nash Sutcliff's efficiency (DC).
Finally, optimized number of neurons were considered for the best model.
Training and testing results revealed that the models were predicting the weekly spring discharge satisfactorily.
Based on these criteria, ANN-based model results in better agreement for the computation of spring discharge.
LMR models were also developed in the study, and they also gave good results, but, when compared with the ANN methodology, ANN resulted in better optimized values.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Raju, M. Mohan& Srivastava, R. K.& Bisht, Dinesh C. S.& Sharma, H. C.& Kumar, Anil. 2011. Development of Artificial Neural-Network-Based Models for the Simulation of Spring Discharge. Advances in Artificial Intelligence،Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-490529
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Raju, M. Mohan…[et al.]. Development of Artificial Neural-Network-Based Models for the Simulation of Spring Discharge. Advances in Artificial Intelligence No. 2011 (2011), pp.1-11.
https://search.emarefa.net/detail/BIM-490529
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Raju, M. Mohan& Srivastava, R. K.& Bisht, Dinesh C. S.& Sharma, H. C.& Kumar, Anil. Development of Artificial Neural-Network-Based Models for the Simulation of Spring Discharge. Advances in Artificial Intelligence. 2011. Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-490529
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-490529
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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