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Assessing The Stability of The hybrid PSO-GA Algorithm in Magnetic model Parameter Estimation compared to Two Separate Approaches

کلیدواژه: Parameter estimation,Particle Swarm Optimization Algorithm,Genetic algorithm,White Gaussian noise,Airborne magnetics

نویسندگان: Sohouli Abdol Nabi, Molhem Hossein, Zare Dehnavi Naser

ناشر: زمین شناسی کاربردی پیشرفته - ADVANCED APPLIED GEOLOGY

In this study, The stability of The combined PSO-GA algorithm in estimating magnetic model parameters is evaluated and compared with two oTher algorithms: Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The PSO algorithm is employed to enhance The action vector, while The GA algorithm ... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

11 بازدید

مشاهده/دانلود

A hybrid Control Strategy Based on model predictive Control Approach for The Rectifier Stage of Solid-State Transformer

کلیدواژه: Solid-State Transformer (SST),Cascaded H-bridge (CHB) rectifier,Model Predictive Control (MPC) method,Capacitor voltage balancing

نویسندگان: Haghgooei Peyman, ARAB KHABOURI DAVOUD, Khosravi Mahyar

ناشر: مهندسی برق دانشگاه تبریز - Tabriz Journal of Electrical Engineering

This paper focuses on studying The Solid-State Transformer (SST) and proposing a control strategy for its input stage. The conventional low-frequency transformers suffer some drawbacks such as uncontrolled voltages and currents, high sensitivity to harmonics, low voltage quality in saturation condit... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

10 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

9 بازدید

مشاهده/دانلود

model predictive Control of a Fault-Tolerant-hybrid Excitation Axial Field-Flux-Switching Permanent Magnet Motor

کلیدواژه: Hybrid Excited Axial Field Flux-Switching Motor,Model Predictive Torque Control,Direct Torque Control Open Circuit Fault,Electric Vehicle

نویسندگان: jamali arand s., Rahmani Fard J.

ناشر: - AUT Journal of Electrical Engineering

To improve The performance of The fault-tolerant-hybrid excitation axial field fluxswitching (FT-HEAFFS) motor and attain The minimum copper loss, a fault-tolerant control method based on The model predictive control algorithm is proposed. Considering a 6 stator slots/13-rotor poles FT-HEAFFS machin... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

11 بازدید

مشاهده/دانلود

Development of Electromagnetic Flowmeters model using a hybrid Approach Based on Numerical Simulation results and Data Estimation Method

کلیدواژه: Electromagnetic flowmeter, Computational fluid dynamics, Magnetic induction intensity, Turbulent flow

نویسندگان: Yousefi Mohsen, Moayyedi Mohammad Kazem

ناشر: نشریه پژوهشی مهندسی مکانیک ایران (فارسی) - IRANIAN JOURNAL OF MECHANICAL ENGINEERING (ENGLISH)

Electromagnetic flowmeters are high-precision devices that can be used to measure fluid flow in engineering systems, including municipal water supply networks. In this research, electromagnetic flowmeter modeling has been used which is a hybrid model based on numerical simulation results of turbulen... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

12 بازدید

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applying The hybrid model of Q-Methodology and Kansei Engineering in Identification of Customer Requests and Grouping Them

کلیدواژه: Product Design,Kansei Engineering,Kansei Terms,QMethodology

نویسندگان: Nasiraei Amir, POOYA ALIREZA, LAGZIAN MOHAMMAD

ناشر: چشم انداز مدیریت صنعتی - Industrial Management Perspective

Kansei engineering or emotion engineering is one of effective means to identify The emotional needs of The users. In this research, a different tool in identification and classification of emotional terms for Kansei engineering is used, named as Q methodology. Since we face with a qualitative issue ... ادامه

سال:2016

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

8 بازدید

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Developing a hybrid model to Estimate Expected return Based on Genetic Algorithm

کلیدواژه: The results show that applying the hybrid model increases the predictive power of realized return compared to other research models

نویسندگان: Asima Mehdi, Abbaszadeh Asl Amir Ali

ناشر: تحقیقات مالی - Financial research Journal

Objective: Capital asset pricing model (CAPM) has been among The most common models to estimate The expected return. In The standard CAPM model, a) The beta coefficient is fixed and b) The relationship between stock returns and market returns is assumed to be linear. While in financial markets, it i... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

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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

3 دانلود

11 بازدید

مشاهده/دانلود

Uncertainty Prediction of Seasonal Variations of Rainfall in The Qom-Kahak Using Different Climate models and hybrid Developed model

کلیدواژه: AOGCM,Bayesian approach,Hybrid developed model,Seasonal variations of rainfall,Uncertainty

نویسندگان: jalili Sepideh, ASHOFTEH PARISA SADAT

ناشر: دانش آب و خاک - Water and Soil Science

In this research, The effect of climate change on rainfall was investigated using five AOGCM climatic models (HadCM3, CCSR-NIES, CSIRO-MK2, CGCM2 and GFDL R30) under emission scenarios A2 and B2 and hybrid developed model resulting from These models based on Bayesian approach, in order to account fo... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

11 بازدید

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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

11 بازدید

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