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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

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

12 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

11 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

مشاهده/دانلود

Application of Artificial neural network Hybrid Models with Metaheuristic Algorithms (PSO, ICA) in Earnings Management forecast

کلیدواژه: Particle Swarm Optimization,Imperialist Competitive Algorithm,Artificial neural network,Earnings Management

نویسندگان: GHADERI EGHBAL, AMINI PEYMAN,

ناشر: پژوهش های تجربی حسابداری - Journal of Empirical Research in Accounting

Metaheuristic approaches are inspired mainly based on the order and rules of natural organisms. Today, these approaches have been widely used in various branches. According to the importance of forecasting, understanding the methods of earnings management forecast can provide useful information for ... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

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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

10 بازدید

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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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

11 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

4 دانلود

13 بازدید

مشاهده/دانلود

Predicting Corporate Financial Distress Using a Hybrid Model of Artificial Immune System and Wavelet neural network (Artificial Intelligence)

کلیدواژه: Financial Distress,Financial Prediction,Wavelet Neural Network,Artificial Immune System,Logistic Regression,Hybrid Algorithm

نویسندگان: Mehrabi Reza, Hematfar Mahmoud, Sefati Farid

ناشر: تکنولوژی در کارآفرینی و مدیریت استراتژیک - Journal of Technology in Entrepreneurship and Strategic Management

In today's financial landscape, the prediction of corporate financial distress plays a crucial role in risk management and economic stability. This study aims to develop a hybrid predictive model that combines the Artificial Immune System (AIS) with the Wavelet neural network (WNN) to forecast finan... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

11 بازدید

مشاهده/دانلود

Hybrid Wavelet-M5 Model Application in Rainfall-Runoff Process forecast (Case study: Aji Chay Catchment)

کلیدواژه: Artificial Network,Decision Tree,Rainfall-Runoff Modeling,Wavelet Transform

نویسندگان: Davanlou Tajbakhsh A., NOURANI V., Molajou A.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Rainfall-runoff process is one of the most important and complex phenomena in the hydrological cycle and therefore different views have been presented for modeling the phenomenon. Obviously, the recognition of the behavior of the catchment can play an important role in selecting the appropriate mode... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

17 بازدید

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