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Investigating the Application of Hybrid Support Vector Machine Models in Predicting River Flow of Karkhe Basin

کلیدواژه: Bayesian Network,Support Vector Machine,Wavelet,Karkhe Basin

نویسندگان: DEHGHANI REZA, Torabi Poodeh Hasan, YOUNESI HOJJATOLLAH, Shahinejad Babak

ناشر: هیدروژئومورفولوژی - HYDROGEOMORPHOLOGY

Introduction: River flow forecasting is one of the most important issues in water resources management and planning, especially in making the right decisions in the event of floods and droughts. Various approaches to hydrology have been introduced to predict river flow rates, among which, intelligen... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

مشاهده/دانلود

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

9 بازدید

مشاهده/دانلود

Assessment of Groundwater Hardness in Khorramabad Plain Using Hybrid Models Based on Metaheuristic Algorithms

کلیدواژه: Groundwater, Khorramabad, Support Vector Regression, Metaheuristics

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Introduction: Over the past century, water scarcity has become a significant global issue due to climate change, population growth, urbanization, and agriculture. In response to this problem, groundwater resources have been used extensively for various purposes, including agriculture, industry, and ... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

16 بازدید

مشاهده/دانلود

Modeling Groundwater Level in Delfan Plain, Lorestan Province, Using Hybrid Metaheuristic Models

کلیدواژه: Groundwater Level, Artificial neural network, Metaheuristic optimization, Delfan plain

نویسندگان: Nohani Ebrahim, Babaali Hamidreza, Dehghani Reza

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Groundwater is often a crucial source of freshwater worldwide, particularly in arid and semi-arid regions. In these areas, groundwater resources are vital due to variable rainfall and high evaporation rates. Groundwater use is increasing in arid and semi-arid regions due to population growth, rapid ... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

2 دانلود

12 بازدید

مشاهده/دانلود

Investigation of Dissolved Oxygen Levels in the Karun River Water Using Hybrid Models Based on Support Vector Regression

کلیدواژه: Dissolved Oxygen, Support vector regression, Karun, Modeling

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: هیدروفیزیک - HYDROPHYSICS

Oxygen plays a vital role in maintaining the balance of life cycles in all ecosystems. Aquatic life is highly sensitive to dissolved oxygen (DO) levels. This necessitates not only continuous monitoring of DO in aquatic environments but also the development of accurate predictive models for future DO... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

5 دانلود

12 بازدید

مشاهده/دانلود

Evaluation of Hybrid Metaheuristic Models in Estimating Electrical Conductivity (Case Study: Kakarza River, Lorestan Province)

کلیدواژه: Kakarza River, water quality, Electrical conductivity, Wavelet

نویسندگان: Nohani Ebrahim, Babaali Hamidreza, Dehghani Reza

ناشر: پژوهش های خشکسالی و تغییر اقلیم - Journal of Drought and Climate Change Research

Electrical conductivity (EC) is an important indicator for monitoring water quality in rivers. Electrical conductivity is inherently related to the concentration of dissolved ionic compounds present in aquatic environments, including various salts and minerals. Estimating electrical conductivity is ... ادامه

سال:3

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

2 بازدید

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The Potential of the Hybrid Support Vector Regression Model for Predicting River Sediment Discharge (Case Study: Keshkan-Lorestan River)

کلیدواژه: Kashkan, Support vector regression, suspended sediments, Modeling

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: هیدروفیزیک - HYDROPHYSICS

Providing a robust and reliable predictive model for river sediment discharge is an essential task for several environmental and geomorphological perspectives, including water quality, riverbed engineering sustainability, and aquatic habitats. In this research, a new hybrid intelligent approach base... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

8 بازدید

مشاهده/دانلود

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

4 دانلود

15 بازدید

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Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model

کلیدواژه: Arabic Handwritten Recognition,Deep Neural Networks,Hidden Markov Model,Kaldi Toolkit

نویسندگان: BABAALI BAGHER, Rekabdar Babak

ناشر: پردازش علایم و داده ها - SIGNAL AND DATA PROCESSING

In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and le... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

مشاهده/دانلود

Prediction of Stream Flow Using Intelligent Hybrid Models in Monthly Scale (Case study: Zarrin roud River)

کلیدواژه: Hybrid Algorithms,Particle Swarm,Entropy,Discharge,Simulated Annealing

نویسندگان: Mohammadi Babak, MOAZENZADEH ROOZBEH

ناشر: علوم و تکنولوژی محیط زیست - Journal of Environmental Science and Technology

Background and Objective: Selecting appropriate inputs for intelligent models are important because it reduces the cost and saves time and increases accuracy and efficiency of its models. The aim of the present study is the use of Shannon entropy to select the optimum combination of input variables ... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

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14 بازدید

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