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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

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

11 بازدید

مشاهده/دانلود

Predicting the Trajectory of Type 2 Diabetes Using a Hybrid Cellular learning Automata and SIR Model: A Real-World Data Approach

کلیدواژه: Type 2 Diabetes,Predictive Modeling,Cellular Learning Automata (CLA),Susceptible–Infected–Recovered (SIR) Model,Health Data Mining

نویسندگان: Kashani Mostafa, Barzehkar Sedigheh

ناشر: مجله دیابت و متابولیسم ایران - Iranian Journal of Diabetes and Metabolism

Background: Type 2 diabetes is a major public-health threat of the present century, imposing substantial clinical and economic burdens on health systems. Accurate forecasting of disease incidence can support resource allocation and the design of targeted interventions. Methods: In this study, we dev... ادامه

سال:2025

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

13 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

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

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

12 بازدید

مشاهده/دانلود

Hybrid Model of forecasting Domestic Tourism Demand of Tehran City

کلیدواژه: Regression,Adaptive Neuro-Fuzzy Inference System (ANFIS),Support Vector Regression (SVR) Algorithm,Medical tourism,Forecasting of Domestic Tourism Demand

نویسندگان: FARZIN MOHAMMAD REZA, AFSAR AMIR, Dabir Alireza, ZANDI EBTEHAL

ناشر: گردشگری و توسعه - TOURISM AND DEVELOPMENT

In recent years, with the changing pattern of holidays and the formation of short-term holidays, cities have found the opportunity for tourism development. Four types of the most important types of domestic tourism in Tehran, based on the statistics of the National Center of Statistics and the views... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

13 بازدید

مشاهده/دانلود

The Development of a Hybrid Error Feedback Model for Sales forecasting

کلیدواژه: Data mining,Machine learning theory,Supervised learning,Sales forecasting

نویسندگان: Farrokhbakht Foumani Mehdi, Moazami Goudarzi Sajad

ناشر: - Journal of Information Systems and Telecommunication - Journal of Information Systems and Telecommunication

Sales forecasting is one of the significant issues in the industrial and service sector which can lead to facilitated management decisions and reduce the lost values in case of being dealt with properly. Also sales forecasting is one of the complicated problems in analyzing time series and Data mini... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

15 بازدید

مشاهده/دانلود

A New Transformer-Based Hybrid Model for forecasting Crude Oil Returns

کلیدواژه: Deep learning,Transformer,Forecasting,Brent oil returns,Hybrid Model

نویسندگان: Abdollah Pour Mohammad Mahdi, Hajizadeh Ehsan, Farineya Parsa

ناشر: - AUT Journal of Modeling and Simulation

In recent years, crude oil has been one of the most important energy sources in the world which impacts political stability and economic security in many countries. Furthermore, Crude oil price also has a huge influence on the world economic pattern due to being directly utilized in different indust... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

11 بازدید

مشاهده/دانلود

Hybrid Modeling for forecasting of Domestic VFR Tourism Demand in Tehran

کلیدواژه: regression,adaptive neuro-fuzzy inference system (ANFIS),Support Vector Regression (SVR) Algorithm,VFR tourism,forecasting of domestic VFR tourism demand,Tehran

نویسندگان: FARZIN MOHAMMAD REZA, AFSAR AMIR, Dabir Alireza, ZANDI EBTEHAL

ناشر: برنامه ریزی و توسعه گردشگری - JOURNAL OF TOURISM PLANNING AND DEVELOPMENT

Most management decisions at all levels of the organization directly or indirectly depend on the state of future prediction, and through the same prediction that one can imagine a success or a status in the future, thereby minimizing risk or making any adjustments and adaptations in the program (Ins... ادامه

سال:2018

لینک به محتوا با زبان هدف

نوع سند: Article

2 دانلود

11 بازدید

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