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Using Hybrid Model of Particle Swarm Optimization and Multi-Layer Perceptron Neural Networks for Classification of Diabete

کلیدواژه:

نویسندگان:

ناشر: International Journal of Intelligent Engineering and Systems - International Journal of Intelligent Engineering and Systems

... ادامه

سال:2021

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A Hybrid Intelligent Classification Model Based on Multilayer Perceptron Neural Networks and Fuzzy Regression for Credit Scoring Problems

کلیدواژه: Credit scoring,Classification methods,Multilayer perceptrons (MLPs),Artificial neural networks,Fuzzy logic

نویسندگان: KHASHEI M., TORBAT SH.

ناشر: روش های عددی در مهندسی (استقلال) - JOURNAL OF COMPUTATIONAL METHODS IN ENGINEERING (ESTEGHLAL)

Financial crises in banking systems are due to inability to manage credit risks. Credit scoring is one of the risk management techniques that analyze the borrower's risk. In this paper, using the advantages of computational intelligence as well as soft computing methods, a new hybrid approach is pro... ادامه

سال:2019

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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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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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A Hybrid of Structural Equation Modeling and Artificial Neural Networks to Predict Motorcyclists’ Injuries: A Conceptual Model in a Case-Control Study

کلیدواژه: Motorcyclists,Traffic injury,Structural equation modeling,Neural networks

نویسندگان: HASANZADEH Shila, ASGHARIJAFARABADI MOHAMMAD, SADEGHI BAZARGANI HOMAYOUN

ناشر: - Iranian Journal of Public Health

Background: To model, the predictors of injuries caused the hospitalization of motorcyclists using a hybrid structural equation modeling-artificial Neural network (SEM-ANN) considering a conceptual model. Methods: In this case-control study, 300 cases and 156 controls were enrolled using a cluster r... ادامه

سال:2020

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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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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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A Hybrid Robust Optimization Model for Day-Ahead Management of Active Distribution Networks

کلیدواژه: Robust optimization,Info-gap decision theory,Day-ahead market,Real-time market,Two-level optimization

نویسندگان: Aboli Reza, RAMEZANI MARYAM, FALAGHI HAMID

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

In this paper, a hybrid day-ahead robust optimization model is presented for the optimal operation of active distribution Networks subject to real-time operation. Maintaining the convex structure of the problem with load flow equations is the most important goal in how to robust modeling of uncertai... ادامه

سال:2019

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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

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Developing a Hybrid Resilience Model for Urban Water supply Networks Case Study: Babol City

کلیدواژه: Resilience assessment, Passive Defense, water distribution network, IRAM, ERASMUS

نویسندگان: Mohammadpour Zahra, Nekooie Mohammad Ali, Zakeri Khatir Hadi

ناشر: پدافند غیر عامل

Water supply Networks are considered one of the most vital infrastructures of a country, as they fulfill the fundamental biological needs of humans, industries, and urban centers. Even a short-term disruption in their performance can lead to severe economic and social consequences due to their criti... ادامه

سال:2025

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