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predictive Model of Bond strength in Reinforced Concrete Structures: A Hybrid Metaheuristic-optimized Neural Network Approach

کلیدواژه: Hybrid predictive models, Bond strength prediction, Metaheuristic Algorithms, Neural Network, Uncertainty Quantification, Model interpretation

نویسندگان: Safaeian Hamzehkolaei N., Ghavaminejad S., Barkhordari M.S.

ناشر: - International Journal of Engineering

Accurate estimation of Bond strength between concrete and deformed reinforcing bars is essential for the stability of reinforced concrete structures, especially in critical regions subjected to heavy loads and environmental stresses. Despite intensive experimental studies revealing the complexity of... ادامه

سال:2025

لینک به محتوا با زبان هدف

نوع سند: Article

8 دانلود

21 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

103 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

62 دانلود

129 بازدید

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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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

111 بازدید

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A Hybrid Model for Back-Break prediction using XGBoost Machine learning and Metaheuristic Algorithms in Chadormalu Iron Mine

کلیدواژه: backbreak, extreme gradient boosting (XGB), Particle swarm optimization (PSO), gray wolf optimization (GWO), Chadormalu iron mine

نویسندگان: Nabavi Zohreh, Mirzehi Mohammad, Dehghani Hesam, Ashtari Pedram

ناشر: معدن و محیط زیست - JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES)

Back-break is one of the adverse effects of blasting, which results in unstable mine walls, high duration, falling machinery, and inappropriate fragmentation. Thus, the economic benefits of the mine are reduced, and safety is severely affected. Back-break can be influenced by various parameters such... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

80 دانلود

102 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

116 بازدید

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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

59 دانلود

107 بازدید

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Hybrid Artificial Neural Network-Geostatistics Model for Urban Water Consumption prediction. A Case Study: Osku City

کلیدواژه: Prediction,Water Consumption,Hybrid Model,Artificial Neural Network,Geostatistic,Osku City

نویسندگان: Goli Ejlali R.

ناشر: آب و فاضلاب - Water and Wastewater

The prediction of water consumption in urban basins is of immense importance for the management of water resources, especially in arid and semiarid countries. The lack of strong predictive tools, or perhaps the lack of experienced users to those tools, may contribute to problems in data interpretati... ادامه

سال:2018

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

116 بازدید

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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

96 بازدید

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Assessment of Groundwater Hardness in Khorramabad Plain Using Hybrid Models Based on Metaheuristic Algorithms

کلیدواژه: Groundwater, Khorramabad, Support Vector Regression, Metaheuristics

نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Introduction: Over the past century, water scarcity has become a significant global issue due to climate change, population growth, urbanization, and agriculture. In response to this problem, groundwater resources have been used extensively for various purposes, including agriculture, industry, and ... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

23 دانلود

78 بازدید

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