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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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Applying Hybrid Models Based on Deep Machine learning in Smart Agriculture (Case study: Forecasting the Future Price of Pistachios)

کلیدواژه: Datamining, Deep learning neural network, Future price forecast, Monte Carlo-Markov chain, Wavelet theory

نویسندگان: Haj Seyedjavadi S.M.R., Heydari R.

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

Introduction The agricultural sector is one of the most basic and vital component in the social and economic structures of any country. Today, with increasing in the world's population and needing to provide food on the other hand, and increasing in the Price fluctuations of agricultural products on... ادامه

سال:2023

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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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Designing The Most Suitable Hybrid Model for Forecasting The Future Price of Saffron in The Agricultural Commodity Exchange

کلیدواژه: Saffron Price Forecasting , Hybrid Model ,Genetic Algorithm , Deep Neural Network and Monte Carlo Method

نویسندگان: Haj Seyed Javadi Seyed Mohammad Reza, Heydari Reza

ناشر: تحقیقات اقتصاد و توسعه کشاورزی ایران - Iranian Journal of Agricultural Economics and Development Research

Saffron, as the most expensive agricultural and medicinal product in the world, has a special place in buying and selling related to the Iranian agricultural commodity bourse. The Saffron commodity bourse, like any other market, has always faced limitations and structural problems, and most of these... ادامه

سال:2022

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Probabilistic Modeling and Estimation of Flow Rate of Sewage Treatment Plant Using Monte Carlo Hybrid Method

کلیدواژه: Probability Distribution,Monte Carlo,Lognormal,Fourier Series,Wastewater Inflow

نویسندگان: PIRI J., PIRZADEH B., KESHTEGAR B., GIVEHCHI M.

ناشر: آب و فاضلاب - Water and Wastewater

One of the most important results of hydraulic and hydrological modeling of the urban drainage Network is hydrograph estimation. Annual journals on hydraulic and hydrological problems, especially in developing countries, are full of missing data, discrete and continuous gaps in most hydrological dat... ادامه

سال:2020

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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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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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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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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

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Forecasting Stock Price using Hybrid Model based on Wavelet Transform in Tehran and New York Stock Market

کلیدواژه: ARIMA-GARCH,Forecasting,Neural Network,Wavelet Transform

نویسندگان: Vafaei Ghaeini Vahid, KIMIAGARI ALIMOHAMMAD, Jafarzadeh Atrabi Mostafa

ناشر: INTERNATIONAL JOURNAL OF FINANCE AND MANAGERIAL ACCOUNTING - INTERNATIONAL JOURNAL OF FINANCE AND MANAGERIAL ACCOUNTING

Forecasting financial markets is an important issue in finance area and research studies. On one hand, the importance of prediction, and on the other hand, its complexity, have led to huge number of researches which have proposed many Forecasting Methods in this area. In this study, we propose a hyb... ادامه

سال:2018

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