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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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

116 بازدید

مشاهده/دانلود

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

63 دانلود

130 بازدید

مشاهده/دانلود

A Hybrid Model for Back-Break Prediction using XGBoost Machine learning and Metaheuristic Algorithms in Chadormalu Iron Mine

کلیدواژه: backbreak, extreme gradient boosting (XGB), Particle swarm optimization (PSO), gray wolf optimization (GWO), Chadormalu iron mine

نویسندگان: Nabavi Zohreh, Mirzehi Mohammad, Dehghani Hesam, Ashtari Pedram

ناشر: معدن و محیط زیست - JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES)

Back-break is one of the adverse effects of blasting, which results in unstable mine walls, high duration, falling Machinery, and inappropriate fragmentation. Thus, the economic benefits of the mine are reduced, and safety is severely affected. Back-break can be influenced by various parameters such... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

80 دانلود

103 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

59 دانلود

107 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

116 بازدید

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Evaluation of A Hybrid CNN-TCN-LSTM Model for Traffic Flow Prediction

کلیدواژه: Traffic Speed Prediction, Machine learning, Inductive Loop Detector, Combined Model Convolutional Neural Network

نویسندگان: Hosseinali Farhad, Shirmohammadi Zahra, Ahangar Kiasari Mohammad, Yousefi Abolfazl, Farmani Mojtaba

ناشر: EARTH OBSERVATION AND GEOMATICS ENGINEERING - EARTH OBSERVATION AND GEOMATICS ENGINEERING

Accurate Prediction of road Traffic Speed has a crucial impact in estimating Traffic condition and plays a role in optimizing transportation and Traffic system’s function. However, the nonlinear nature of Traffic systems and the complexity of uncertainty introduce challenges for Speed variables. The... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

7 دانلود

20 بازدید

مشاهده/دانلود

Prediction of Groundwater Level Changes Using Hybrid Wavelet Self-Adaptive Extreme learning Machine Model-Observation Well of Sarab Qanbar, Kermanshah

کلیدواژه: Groundwater level,Self-Adaptive Extreme Learning Machine (SAELM),Uncertainty analysis,Wavelet transform

نویسندگان: Yosefvand f., SHABANLOU S.

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

In this study, the groundwater level (GWL) of the Sarab Qanbar region located in the south of Kermanshah, Iran, was estimated using the Wavelet-Self-Adaptive Extreme learning Machine (WA-SAELM) Model. An artificial intelligence method called “ Self-Adaptive Extreme learning Machine” an... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

105 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

107 بازدید

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Introducing a Nonlinear Model Based on Hybrid Machine learning for Modeling and Prediction of Precipitation and Comparison with SDSM Method (Cases Studies: Shahrekord, Barez, and Yasuj)

کلیدواژه: Climate change,Downscaling,Machine learning,Precipitation

نویسندگان: Valikhan Anaraki Mahdi, Mousavi Sayed Farhad, FARZIN SAEED, KARAMI HOJAT

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

In the present study, a nonlinear hybrid Model, based on multivariate adaptive regression splines (MARS), artificial Neural Networks (ANN) and K-nearest neighbor (KNN) has been presented for downscaling the precipitation of Shahrekord, Barez, and Yasuj under climate change conditions. This Model, si... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

114 بازدید

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Simulation of Groundwater Level Using the Hybrid Model Wavelet-Self Adaptive Extreme learning Machine

کلیدواژه: Artificial intelligence,Groundwater aquifer,Hybrid model,Kabodarahang,Simulation

نویسندگان: MALEKZADEH MARYAM, KARDAR SAEID, SHABANLOU SAEID

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

In present study, the groundwater level of the Kabodarahang region located in Hamadan Province was simulated using novel techniques such as Self-Adaptive Extreme learning Machine (SAELM) and WaveletSelf-Adaptive Extreme learning Machine (WA-SAELM). Firstly, the effective lags were detected using the... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

104 بازدید

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