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Evaluating Performance of Hybrid neural Network models in Daily River flow Estimation

کلیدواژه: Flow Discharge,Support Vector Machine,Wavelet Neural Network,Forecasting

نویسندگان: Younesi Hojatolah, GODARZI AHMAD

ناشر: ENVIRONMENTAL RESOURCES RESEARCH - ENVIRONMENTAL RESOURCES RESEARCH

River flow forecasting is of immense importance for reliable planning, designing, and management of water resources projects. This study investigated the performance of wavelet neural network, support vector machine, artificial neural network, and Multiple models Driven by Artificial neural Networks... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

13 بازدید

مشاهده/دانلود

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

11 بازدید

مشاهده/دانلود

Evaluation of the Neuro-fuzzy and Hybrid Wavelet-neural models Efficiency in River flow Forecasting (Case Study: Mohmmad Abad Watershed)

کلیدواژه: Daily flow time series,Flow forecasting,Neuro-fuzzy model,Wavelet-neural model

نویسندگان: Niromandfard Fariba, KHASHEI SIUKI ABBAS, SHAHIDI ALI

ناشر: پژوهشنامه مدیریت حوزه آبخیز - Journal of Watershed Management Research

One of the most important issues in watersheds management is rainfall-runoff hydrological process forecasting. Using new models in this field can contribute to proper management and planning. In addition, river flow forecasting, especially in flood conditions, will allow authorities to reduce the ri... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

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Aplication of the Hybrid model of Support Vector Machine-Algorithm Artificial Flora in Estimating the Daily flow of Rivers (Case study: Dez basin)

کلیدواژه: Artificial Flora Alghorithm,Prediction,Dez Basin,Support Vector Machine

نویسندگان: DEHGHANI R., TORABI POUDEH H., YOUNESI H., SHAHINEJAD B.

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

In this study, the hybrid support vector machine-artificial flora algorithm method was developed and the results were compared with those of the support vector machine-wavelet model. The case study of Dez catchment area was used in order to estimate the flow rate of the rivers employing the Daily di... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

8 بازدید

مشاهده/دانلود

A Hybrid Intelligent Classification model Based on Multilayer Perceptron neural Networks and fuzzy Regression for Credit Scoring Problems

کلیدواژه: Credit scoring,Classification methods,Multilayer perceptrons (MLPs),Artificial neural networks,Fuzzy logic

نویسندگان: KHASHEI M., TORBAT SH.

ناشر: روش های عددی در مهندسی (استقلال) - JOURNAL OF COMPUTATIONAL METHODS IN ENGINEERING (ESTEGHLAL)

Financial crises in banking systems are due to inability to manage credit risks. Credit scoring is one of the risk management techniques that analyze the borrower's risk. In this paper, using the advantages of computational intelligence as well as soft computing methods, a new hybrid approach is pro... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

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Prediction of Monthly River flow Using Hybridization of Linear time Series models and Bayesian network (Case Study: Bakhtiari River)

کلیدواژه: Bayesian network,Input pattern,Model development,Stationary test

نویسندگان: AHMADI FARSHAD, VALINIA MIR MAHMOOD

ناشر: مدیریت آب و آبیاری - Journal of Water and Irrigation Management

One of the most important issues in water resources management is the preparation and development of appropriate models in order to predict the streamflow more accurately. For this purpose, in the present study, linear time series models (ARMA), intelligent Bayesian network (BN) and BN-ARMA hybrid m... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

4 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

Evaluation of Random Forest-Genetic Algorithm Hybrid model in Estimating Daily Solar Radiation

کلیدواژه: Ardabil,Intelligent Models,Optimization,Solar Energy

نویسندگان: Hashemi Sajjad, Samadianfard Saeed, Sadraddini Ali Ashraf

ناشر: محیط زیست و مهندسی آب - Environment and Water Engineering

Solar energy is the most important source of renewable energy, in other words, the main source of energy on Earth. Therefore, estimating the solar radiation parameter with high accuracy is very important. In this regard, in the present study, meteorological data of 3 meteorological stations of Ardab... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

11 بازدید

مشاهده/دانلود

A Hybrid fuzzy Multi-criteria Decision Making model Based on fuzzy DEMATEL with fuzzy Analytical Network Process and Interpretative Structural model for Prioritizing LARG Supply Chain Practices

کلیدواژه: LARG Supply Chain,LARG Practices,FDANP Technique,Interpretative Structural Model,Dairy Industries

نویسندگان: AKBARZADEH Z., Safaei Ghadikolaei A.H., MADHOUSHI M., AGHAJANI H.

ناشر: - International Journal of Engineering

In recent years, taking advantage of LARG supply chain (SC) paradigm, a combination of four paradigms (clean, agile, resilience and green) has been increasingly employed. For capturing the advantages of LARG in SC, companies needed to recognize proper practices and implement them with appropriate pl... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

15 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

4 دانلود

15 بازدید

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