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مقاله Predicting Drought Based on SPI and RDI on 3- month Time Scale Using Artificial Neural Networ
فرمت فایل دانلودی: .pdf
فرمت فایل اصلی: pdf
تعداد صفحات: 9
حجم فایل: 911 کیلوبایت
قیمت: 10000 تومان
توضیحات:
مقاله انگلیسی کنگره ملی مهندسی عمران سال 1399 با عنوان Predicting Drought Based on SPI and RDI on 3- month
Time Scale Using Artificial Neural Networks and Decision Tree در قالب فایل pdf.
عنوان مقاله:
Predicting Drought Based on SPI and RDI on 3- month Time Scale Using Artificial Neural Networks and Decision Tree
بخشی از متن فایل:
Drought forecasting plays an important role in the design and management of water resources, determining the water requirement of the plant, etc. These days, there are several methods available to predict drought. In recent years, the use of new computer models has expanded. For instance, Artificial neural network (ANN) has been successful in modeling and predicting processes that lack explicit solutions and relationships for accurate identification and description. Additionally, the decision tree (DT), as one of the mathematical models, generates the law by examining the parameters from one to the other, ultimately gaining insights from the available statistical data. In this study, the Standardized Precipitation Index (SPI) and the Reconnaissance Drought Index (RDI) on a 3-month time scale are computed by exploiting ANN and DT, the prediction of drought according to SPI and RDI on a 3-month time scale in Shiraz synoptic station is performed for the period 2010- 2019 and the results are investigated.
پرداخت با کلیه کارتهای عضو شتاب امکان پذیر است.
۰۸
تیر
مقاله Predicting Drought Based on SPI and RDI on 3- month Time Scale Using Artificial Neural Networ
فرمت فایل دانلودی: .pdf
فرمت فایل اصلی: pdf
تعداد صفحات: 9
حجم فایل: 911 کیلوبایت
قیمت: 10000 تومان
توضیحات:
مقاله انگلیسی کنگره ملی مهندسی عمران سال 1399 با عنوان Predicting Drought Based on SPI and RDI on 3- month
Time Scale Using Artificial Neural Networks and Decision Tree در قالب فایل pdf.
عنوان مقاله:
Predicting Drought Based on SPI and RDI on 3- month Time Scale Using Artificial Neural Networks and Decision Tree
بخشی از متن فایل:
Drought forecasting plays an important role in the design and management of water resources, determining the water requirement of the plant, etc. These days, there are several methods available to predict drought. In recent years, the use of new computer models has expanded. For instance, Artificial neural network (ANN) has been successful in modeling and predicting processes that lack explicit solutions and relationships for accurate identification and description. Additionally, the decision tree (DT), as one of the mathematical models, generates the law by examining the parameters from one to the other, ultimately gaining insights from the available statistical data. In this study, the Standardized Precipitation Index (SPI) and the Reconnaissance Drought Index (RDI) on a 3-month time scale are computed by exploiting ANN and DT, the prediction of drought according to SPI and RDI on a 3-month time scale in Shiraz synoptic station is performed for the period 2010- 2019 and the results are investigated.
پرداخت با کلیه کارتهای عضو شتاب امکان پذیر است.
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مقاله ترجمه شده ارتباطات درون سازمانی (Organization Improvement: Cooperative Communication ) رشته: مدیریت نوع فایل: word تعدادصفحه: انگلیسی: 6 | فارسی:5 (Organization Improvement: Cooperative Communication ) The workplace is a complicated place. Imagine a spider web of people, managers, supervisors and staff members who need to work together, interacting in various ways to fulfil the organization's mandate. Disagreements and conflict are bound to occur; between staff members ...
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