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Modeling Of Monthly Evaporation Using Single and Hybrid-Wavelet Data-Driven Methods in Basins of Iran with Climate Variety

کلیدواژه: Climate, Evaporation, Data mining, Wavelet

نویسندگان: Emadi Ali Reza, Zamanzad-Ghavidel Sarvin, Zareie Soheila, Rashid-Niaghi Ali

ناشر: مهندسی آبیاری و آب ایران - Journal of Irrigation and Water Engineering

Evaporation as one of the natural parameters has always been considered by researchers. In this study, the monthly Evaporation variable was modeled in two different Climates of Iran using artificial neural network, adaptive fuzzy-neural inference system and gene expression programming methods and co... ادامه

سال:2022

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Modeling Of Monthly Evaporation Using Single and Hybrid-Wavelet Data-Driven Methods in Basins of Iran with Climate Variety

کلیدواژه: Climate, Evaporation, Data mining, Wavelet

نویسندگان: Emadi Ali Reza, Zamanzad Ghavidel Sarvin, Fazeli Sina, Zareie Soheila, Rashid Niaghi Ali

ناشر: مهندسی آبیاری و آب ایران - Journal of Irrigation and Water Engineering

Evaporation as one of the natural parameters has always been considered by researchers. In this study, the monthly Evaporation variable was modeled in two different Climates of Iran using artificial neural network, adaptive fuzzy-neural inference system and gene expression programming methods and co... ادامه

سال:2022

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COVID-19 Prediction Classifier Model Using Hybrid Algorithms in Data mining

کلیدواژه: Accuracy,Covid-19,Classifier model,Data mining,Hybrid data mining

نویسندگان: Nikooghadam Morteza, Ghazikhani Adel, SAEEDI MOHAMMAD

ناشر: - Journal of Pediatric Perspectives - Journal of Pediatric Perspectives

Increase of stored Data in medical Databases needs allocative tools to get access to Data, Data mining, discover knowledge and efficient use of Data. Medical and treatment fields are two examples of Data mining tools to analyze massive Data and predictive modelling. In medical sciences, prediction a... ادامه

سال:2021

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Hybrid Medical Data mining Model for Identifying Tumor Severity in Breast Cancer Diagnosis

کلیدواژه: Breast Cancer Prediction,Mammography,Ultrasonography,Medical Data Mining,Invasive Ductal Carcinoma

نویسندگان: Araghi Niknam Faeze, Ghousi Rouzbeh, Masoumi AmirHossein, ATASHI ALIREZA, MAKUI AHMAD

ناشر: مهندسی صنایع - Advances in Industrial Engineering

Purpose: This study proposes a methodology for detecting tumor severity using Data mining of Databases relating to breast imaging modalities. In doing so, it proposes creating a software application that can serve as an efficient decision-making support system for medical practitioners, especially t... 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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Evaluation of Hybrid Model ANN-PSO and Different Data mining Methods in Estimating Monthly Evapotranspiration in Two Different Climates

کلیدواژه: Dry Regions,Evaporation and Transpiration,Machine Learning,Soft Computing

نویسندگان: Hosseini Vardanjani S.M.R., KHOSHRAVESH M., Hosseini Kakolaki S.E., Pourgholam Amiji M.

ناشر: آبیاری و زهکشی ایران - Iranian Journal of Irrigation and Drainage

Evapotranspiration is one of the main components of any region's water balance. Its accurate estimation is very necessary for hydrological studies, designing irrigation and drainage systems, and planning irrigation systems. In this research, the M5 tree model, M5 Rules, K Star, Rep Tree, artificial ... ادامه

سال:2023

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A Hybrid Data-mining Algorithm and DataDriven Supply Chain Modeling for Allocation Goods to Warehouses and Warehouse Service to Customers

کلیدواژه: Supply Chain,Warehouse Location,Data Mining,Warehouse Allocation,Clustering

نویسندگان: AHMADI SADRA, Yousefpour Reza

ناشر: چشم انداز مدیریت صنعتی - Industrial Management Perspective

In this research, the issue of product allocation in a situation that there are a large number customers and goods are various, is investigated. Expanding the level of Internet access and increasing the desire of online shopping, raise the number of customers. In a situation where there is a great v... ادامه

سال:2021

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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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Evaluation of the Accuracy of Wavelet-Neuro-Fuzzy, Neuro-Fuzzy, and Wavelet Hybrid Models in Groundwater Level Prediction (Case Study: Birjand Plain)

کلیدواژه: Wavelet analysis, Groundwater Level, Birjand plain, Fuzzy Neural Network, Water resources management

نویسندگان: Dastuorani Mehdi, Khayat Amir, Akhondi Zahra

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Given the scarcity of water resources and the importance of their optimal management, accurate prediction of groundwater level fluctuations is essential. Intelligent models such as time series, Wavelet analysis, artificial neural networks, and support vector machines can help in the sustainable u... ادامه

سال:2024

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Forecasting of Azarshahr Plain Aquifer Response to the Climate Changes, Using Artificial Intelligence-System Dynamic Hybrid Model

کلیدواژه: climate change,Azarshahr,Artificial Intelligence,Bayesian Kriging,System Dynamic,Water resources management

نویسندگان: TAGHIPOUR ALI AKBAR, Docheshmeh Gorgich Alireza, ASGHARI MOGHADDAM ASGHAR, NADIRI ATA ALLAH

ناشر: جغرافیا و آمایش شهری - منطقه ای - GEOGRAPHY AND TERRITORIAL SPATIAL ARRANGEMENT

Beside the improvement plans and Climate change increasing during the last years and its effects on Azarshahr plain aquifer system, reveals the necessity of precise and applicable study about the aquifer situation. For this aim, Using the Artificial Intelligence, simulation and prediction of rainfal... ادامه

سال:2018

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