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Using Hybrid Wavelet-Support Vector Machine and Wavelet-neural Network Models for Groundwater Level Prediction in Ardabil Plain

کلیدواژه: SVM,Wavelet transfor,SOM,Groundwater,Ardabil plain

نویسندگان: Daneshvar Vousoughi Farnaz, Manafian azar Vahid

ناشر: هیدروژئومورفولوژی - HYDROGEOMORPHOLOGY

Groundwater has played an important role in the urban and rural water supply and agriculture. In order to manage water resources, an accurate and reliable Groundwater level forecasting is needed. In this research, 15 piezometers in Ardabil plain were used. SVM was applied for a prediction method in ... ادامه

سال:2019

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Performance of Dragonfly Algorithm Hybrid Model - Artificial neural Network for Modeling Settlement of Earth Dam during Construction

کلیدواژه: Construction time, Dam cross section, Dragonfly Algorithm, feature selection, Settlement

نویسندگان: Hakimi Khansar Hosein, Hosseinzadeh Dalir Ali, Parsa Javad, Shiri Jalal

ناشر: دانش آب و خاک - Water and Soil Science

Background and ObjectivesPore water pressure, stress and settlement are the most important geotechnical parameters that must be constantly monitored during the construction of earth dams. Since measuring dam settlement directly at the time of dam construction requires cost and time, the development ... ادامه

سال:2023

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The efficiency of Data-Driven Models for Months ahead Groundwater Level Forecasting Using a Hybrid Gamma Test and Genetic Algorithm Model

کلیدواژه: Groundwater levels,Gamma Test,Artificial neural network,SVR,Genetic Algorithm

نویسندگان: mirarabi ali, Naseri Hamidreza, NAKHAEI MOHAMMAD, Alijani Farshad

ناشر: زمین شناسی کاربردی پیشرفته - ADVANCED APPLIED GEOLOGY

In order to implement sustainable Groundwater resources management, it is necessary to model the behavior of Groundwater level. Groundwater is a nonlinear and complex system which Data-driven models can be modeled this system without approximation and simplification. This study evaluates the perform... ادامه

سال:2018

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Comparison of Stock Index Forecasting Using Hybrid Models Based on Genetic Algorithm and Harmonic Search with Artificial neural Network

کلیدواژه: Genetic Algorithms,Harmony Search,Artificial Neural Networks

نویسندگان: DAVALLOU MARYAM, Heidari Toktam

ناشر: اقتصاد مقداری - Journal of Quantitative Economics

This paper is aimed to compare stock index forecasting using hybrid models based on Genetic Algorithm (GA) and Harmonic Search (HS) with Artificial neural Network (ANN). The most relevant technical indicators as inputs and the optimal number of neurons in hidden layer of Artificial neural Network de... ادامه

سال:2018

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Optimization and Modeling of Plasma Cutting of AISI 309 Stainless Steel by Using neural Network-Genetic Algorithm Hybrid Model

کلیدواژه: Plasma cutting,ANN,Kerf,HAZ,Ra

نویسندگان: Mirabdolahi S.M., ABOOTORABI M.M.

ناشر: مهندسی مکانیک مدرس - Modares Mechanical Engineering

In plasma cutting, a noble gas at high speed is blown from the nozzle and ionized with the help of a frequency spark at high voltage and an electric arc is created which cause the gas changes to the plasma state. Plasma cutting is an ideal process for cutting of the hard metals. In this research, th... ادامه

سال:2019

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Hybrid Learning Machine Metaheuristic Model for Estimating Groundwater Level

کلیدواژه: Groundwater level,Weighted least square support vector machine,Particle swarm optimization,Gravitational search algorithm-Efficiency

نویسندگان: Khosravi Shiva, Robati Amir

ناشر: مهندسی عمران مدرس - Modares Civil Engineering journal

Groundwater is the most reliable source of supply for potable water and supports a wide array of economic and environmental services. There is a significant concern that Groundwater levels are declining due to intense aquifer use. The sustainable management of Groundwater resources requires good pla... ادامه

سال:2021

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Estimation of Reference Evapotranspiration Using Artificial neural Network Models and the Hybrid Wavelet neural Network

کلیدواژه: Water Requirement,Davbechies Wave-let,Temperature,Statistical Indices,Shahrekord

نویسندگان: GANJI KHORRAMDEL N., Hoseini S. M. R.

ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial neural networks, neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to... ادامه

سال:2019

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A Hybrid Model based on Ant Lion Optimization Algorithm and K-Nearest Neighbors Algorithm to Diagnose Liver Disease

کلیدواژه: Ant lion optimization (ALO) algorithm,Classification,Diagnosis of liver disease,K-nearest neighbors (KNN) algorithm

نویسندگان: JAVADZADEH SH., Shayanfar H., Soleimanian Qarachapaq F.

ناشر: مجله دانشگاه علوم پزشکی ایلام - Journal of Ilam University of Medical Sciences

Introduction: Given that a huge amount of cost is imposed on public and private hospitals from the department of liver diseases, it is necessary to provide a method to predict liver diseases. This study aimed to propose a hybrid model based on the Ant Lion Optimization Algorithm and K-Nearest Neighb... ادامه

سال:2021

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Application of Hybrid Data Mining Model (Genetic Algorithm-Wavelet-Deep neural Network-Monte Carlo Method) for Forecasting the Price of Agricultural Products: A Case Study of Future Price of Saffron in Agricultural Commodity Exchange

کلیدواژه: Forecasting, Future Price of Saffron, Genetic algorithm, Wavelet Theory, Deep learning Neural Network, Monte Carlo Method

نویسندگان: Heydari Reza, Haj Seyed Javady Seyed Mohammad Reza

ناشر: اقتصاد کشاورزی و توسعه - Journal of Agricultural Economics and Development

The price forecasting and its changes trend is one of the most important factors in decision making and formulating strategies related to agricultural products. This study aimed at presenting a hybrid data mining model for accurate price forecasting of agricultural products, including nonlinear mode... ادامه

سال:2023

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Developing Hybrid GA-AHP Groundwater Vulnerability Model Based on DRASTIC Method

کلیدواژه: DRASTIC,Genetic algorithm,Geographic information system (GIS),Groundwater vulnerability,Multi-criteria decision making

نویسندگان: Norouzi gharagezloo Y., NIKOO M.R., Karimi Jashani A., DEHGHANI M.

ناشر: دانش آب و خاک - Water and Soil Science

Proper management of Groundwater resources, as the main source of fresh water, is very important. Groundwater vulnerability assessment has been applied as a management tool for prioritizing the use of resources, controling the contaminant transfer and adopting cost-effective ways for aquifer managem... ادامه

سال:2021

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