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Spatial-Temporal Disaggregation of Rainfall Time Series Using Wavelet-Artificial Neural Network Hybrid Model

کلیدواژه: Rainfall Time Series,Disaggregation,Artificial Neural Networks,Wavelet Transform,Hybrid Model

نویسندگان: Farboudfam N., NOURANI V., AMINNEJAD B.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Due to the need to simulate Rainfall Time series at different Time scales for engineering purposes on one hand and lack of recordings for these parameters in small scales caused by the administrative and financial problems, on the other hand, disaggregation of Rainfall Time series to the desired sca... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

Hybrid Time Delay Petri Nets as a Mathematical Novel Tool to Model Dynamic System with Current Sample Time

کلیدواژه: Hybrid Petri Nets,Current sample time signals,Capsubot robot,Genetic algorithm

نویسندگان: Ahangarani Farahani A., DIDEBAN A.

ناشر: کنترل و بهینه سازی در ریاضیات کاربردی - CONTROL AND OPTIMIZATION IN APPLIED MATHEMATICS

The existing Modeling methods using Petri Nets, have been successfully applied to Model and analyze dynamic systems. However, these methods are not capable of Modeling all dynamic systems such as systems with the current sample Time signals, systems including various subsystems and multi-mode system... ادامه

سال:2018

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

15 بازدید

مشاهده/دانلود

Hybrid Wavelet-M5 Model Application in Rainfall-Runoff Process Forecast (Case study: Aji Chay Catchment)

کلیدواژه: Artificial Network,Decision Tree,Rainfall-Runoff Modeling,Wavelet Transform

نویسندگان: Davanlou Tajbakhsh A., NOURANI V., Molajou A.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Rainfall-runoff process is one of the most important and complex phenomena in the hydrological cycle and therefore different views have been presented for Modeling the phenomenon. Obviously, the recognition of the behavior of the catchment can play an important role in selecting the appropriate mode... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

مشاهده/دانلود

A 3D Time-Variant Non-Stationary Hybrid Channel Model for Massive MIMO Systems

کلیدواژه: Channel modeling,doppler effect,clustering,massive MIMO,ray tracing,5G

نویسندگان: Tamaddondar Mohammad Mehdi, NOORI NARGES

ناشر: - International Journal of Information and Communication Technology Research

This paper presents a novel three-dimensional (3D) Time-variant hybrid channel Model for massive multiple input multiple output (M-MIMO) wireless systems. The main aim of the proposed Model is to find channel characteristics in a simple and precise manner. To achieve this purpose, this channel Model... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

5 دانلود

16 بازدید

مشاهده/دانلود

Development of Hybrid Wavelet-Artificial Neural Network and Support Vector Machine Approach for Multi-Station Rainfall-Runoff Modeling Using Clustering and Mutual Information Tools

کلیدواژه: Mutual information,Wavelet transform,Little River watershed,Self-organizing map,Artificial intelligence

نویسندگان: ANDALIB GHOLAMREZA, NOURANI VAHID, Monirifar Hosein, Sharghi Elnaz

ناشر: رویکردهای نوین در مهندسی عمران - JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING

Conversion of Rainfall to runoff according to the laws of gravity vivifies earth, replenishes groundwater, keeps rivers and lakes full of water, and varies the landscape by the action of erosion. Large uncertainties and high non-linearity of the Rainfall-Runoff (R-R) process make it complex task to ... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

10 بازدید

مشاهده/دانلود

Long-Term Rainfall Estimation in Anzali City Using the Hybrid Wavelet-Adaptive Neuro-Fuzzy Inference System Model

کلیدواژه: Rainfall,ANFIS,Wavelet,Sensitivity analysis,Simulation,Anzali city

نویسندگان: PASANDIDEH IRAJ, IZADBAKHSH MOHAMMAD ALI, SHABANLOU SAEID

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

Recently, the amount of Rainfall underwent serious changes in different areas, particularly in arid and semi-arid regions. Therefore, estimation and pattern recognition of Rainfall in a long term period can give sufficient information to hydrologists and water engineers. In this study, for the first... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

9 بازدید

مشاهده/دانلود

Uncertainty Prediction of Seasonal Variations of Rainfall in the Qom-Kahak Using Different Climate Models and Hybrid Developed Model

کلیدواژه: AOGCM,Bayesian approach,Hybrid developed model,Seasonal variations of rainfall,Uncertainty

نویسندگان: jalili Sepideh, ASHOFTEH PARISA SADAT

ناشر: دانش آب و خاک - Water and Soil Science

In this research, the effect of climate change on Rainfall was investigated using five AOGCM climatic Models (HadCM3, CCSR-NIES, CSIRO-MK2, CGCM2 and GFDL R30) under emission scenarios A2 and B2 and Hybrid developed Model resulting from these Models based on Bayesian approach, in order to account fo... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

11 بازدید

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Development of Earning Manipulation Prediction Model Applying Hybrid Neural Network and Cosmology Based Algorithms

کلیدواژه: Multi-layer perceptron neural network, Cosmology algorithms, Beneish model, Corporate governance system

نویسندگان: Maleki Nia Nahid, Tehrani Reza, Tabriz Akbar Akbar, Fallah Shams Mirfeiz

ناشر: اقتصاد پولی، مالی - Monetary and Financial Economics

Extended abstract1- INTRODUCTIONAccurately predicting earning manipulation in order to detect and identify manipulation of financial statements has always been one of the most fundamental challenges ahead of financial reports users. Because of increasing financial reporting fraud, this fact resulted... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

11 بازدید

مشاهده/دانلود

Prediction of Meteorological Droughts in Kuhrang Using the Hybrid Model of Wavelet and Artificial Neural Network

کلیدواژه: Meteorological Drought, WANN model, ANN Model, SPI Index, RDI index, Kuhrang

نویسندگان: Bahrami Samani Marziyeh, Mirabbasi Najafabadi Rasoul, Ghasemi Dastgerdi Ahmad Reza, Abdollahi AsadAbadi Sajjad

ناشر: علوم و مهندسی آبیاری - Journal of Irrigation Sciences and Engineering

Meteorological drought is defined as a lack of Rainfall over long periods, which reduces soil moisture and river flow. One of the critical drought assessment tools is drought indices (Tsakiris & Vangelis, 2005). So far, many drought indicators have been developed by researchers, for example, the RDI... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

12 بازدید

مشاهده/دانلود

Hybrid Artificial Neural Network-Geostatistics Model for Urban Water Consumption Prediction. A Case Study: Osku City

کلیدواژه: Prediction,Water Consumption,Hybrid Model,Artificial Neural Network,Geostatistic,Osku City

نویسندگان: Goli Ejlali R.

ناشر: آب و فاضلاب - Water and Wastewater

The prediction of water consumption in urban basins is of immense importance for the management of water resources, especially in arid and semiarid countries. The lack of strong predictive tools, or perhaps the lack of experienced users to those tools, may contribute to problems in data interpretati... ادامه

سال:2018

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

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