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The Application of Metaheuristic Optimization Algorithms of Gravitational Search, Particle Swarm, and their Hybrid in Fracture Network Modeling

کلیدواژه: Fractured Network Modeling,Multivariate Optimization Algorithms Particle Swarm Optimization,Gravitational Search Algorithm

نویسندگان: SHAKIBA Sima, DOULATI ARDEJANI FARAMARZ

ناشر: پژوهش نفت - PETROLEUM RESearch

Fractured Network modeling is the main prerequisite for fluid flow simulation in many applications such as groundwater resource management, oil and gas reservoir simulation, geothermal energy resource modeling and etc. The aim of this study is to develop an iterative object-based Algorithm for fract... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

18 بازدید

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Optimization of Hyperparameters in Hybrid Deep Learning Models for Sleep Apnea Detection Using Swarm Intelligence Algorithms

کلیدواژه: Sleep Apnea, HoneyBadger Optimizer, GreyWolf Optimizer, Convolutional neural network, Deep Recurrent Neural Network

نویسندگان: Fotouhi-Ghazvini Faranak, Badiee Maryam

ناشر: پژوهش های نظری و کاربردی هوش ماشینی - Journal of Applied and Basic Machine Intelligence ReSearch

This study investigates the efficiency of CNN-DRNN hybrid classifiers in detecting sleep apnea using electrocardiogram (ECG) signals. Various CNN models were evaluated, including AlexNet, VGG16, VGG19, and ZFNet, along with DRNN models such as LSTM, GRU, and BiLSTM. These models were compared with a... ادامه

سال:2025

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

16 بازدید

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Non– Intrusive Appliance Load Disaggregation in Smart Homes Using Hybrid Constrained Particle Swarm Optimization and Factorial Hidden Markov Model

کلیدواژه: Non–,Intrusive Appliance Load Disaggregation,Smart Home,Swarm Particle Optimization,Factorial Hidden Markov Model

نویسندگان: DEJAMKHOOY ABDOLMAJID, AHMADPOUR ALI, POURJAFAR SAEED

ناشر: JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY - JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY

Nowadays, the prediction of the load performances in the smart systems is necessary to generate the minimum energy. In a smart home, there are various appliances that each of them has different behavior. These differences defined as appliance states. In this paper, an effective hybrid method is prop... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

14 بازدید

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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

لینک به محتوا با زبان هدف

نوع سند: Article

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14 بازدید

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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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

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A Hybrid Model based on Ant Lion Optimization Algorithm and K-Nearest Neighbors Algorithm to Diagnose Liver Disease

کلیدواژه: Ant lion optimization (ALO) algorithm,Classification,Diagnosis of liver disease,K-nearest neighbors (KNN) algorithm

نویسندگان: JAVADZADEH SH., Shayanfar H., Soleimanian Qarachapaq F.

ناشر: مجله دانشگاه علوم پزشکی ایلام - Journal of Ilam University of Medical Sciences

Introduction: Given that a huge amount of cost is imposed on public and private hospitals from the department of liver diseases, it is necessary to provide a method to predict liver diseases. This study aimed to propose a hybrid model based on the Ant Lion Optimization Algorithm and K-Nearest Neighb... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

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Hybridization of Cuckoo Search and Firefly Algorithms to Calculate the Interaction Parameters in Phase Equilibrium Modeling Problems

کلیدواژه: Liquid-liquid equilibrium,Optimization,Cuckoo Search,Firefly Algorithm,Hybridization

نویسندگان: Merzougui Abdelkarim, Hasseine A., Regab S., Laiadi D.

ناشر: - Iranian Journal of Chemistry and Chemical Engineering - Iranian Journal of Chemistry and Chemical Engineering

Liquid-liquid equilibrium (LLE) problems such as: phase stability analysis, phase equilibrium calculations, chemical equilibrium calculations, binary interaction parameter identification of thermodynamic models and other problems of fluid characterization have been the core subject of many recent st... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

9 بازدید

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Venture Capital Portfolio Optimization through Hybrid Approach of Agent-Based Modeling and Modified Harmony Search

کلیدواژه: Venture capital,Agent-based modeling,Harmony search,Particle swarm optimization,Adaptive Network Fuzzy Inference System

نویسندگان: Hasheminejad Seyed Ali, BAGHERPOUR MORTEZA

ناشر: تحقیقات مالی - Financial ReSearch Journal

Objective: Increasing the competitiveness of countries in the world can be reached only through innovation and the financial aspect is the most important pillar of a national innovation system. Hence, the role of venture capital in developing knowledge-based institutions is vital. However, startup p... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 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

12 بازدید

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