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Long-Term Rainfall Estimation in Anzali City Using the Hybrid Wavelet-Adaptive Neuro-Fuzzy Inference System Model

کلیدواژه: Rainfall,ANFIS,Wavelet,Sensitivity analysis,Simulation,Anzali city

نویسندگان: PASANDIDEH IRAJ, IZADBAKHSH MOHAMMAD ALI, SHABANLOU SAEID

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

Recently, the amount of rainfall underwent serious changes in different areas, particularly in arid and semi-arid regions. Therefore, estimation and pattern recognition of rainfall in a long term period can give sufficient information to hydrologists and water engineers. In this study, for the first... ادامه

سال:2019

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Hybrid Fuzzy Models and Experimental-based Collective Intelligence Algorithms for Detection of Breast Tumors through Mammography Image Analysis

کلیدواژه: Fuzzy Inference System,Breast Tumors,Benign,Malignant,Soft Computing,Evolutionary Hybrid Algorithms

نویسندگان: Khodadadi Elnaz, HOSSEINI RAHIL, MAZINANI MAHDI

ناشر: هوش محاسباتی در مهندسی برق (سیستم های هوشمند در مهندسی برق) - COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)

In this study, a Hybrid Fuzzy intelligent method for diagnosing and managing uncertainty in input features to identify breast tumors in mammography images has been proposed. Moreover, a Hybrid Fuzzy evolutionary model has been applied to increase the system efficiency and optimize results. Soft comp... ادامه

سال:2021

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Open Banking Innovation Model by Digital Transformations Based on Adaptive Neuro Fuzzy Inference System (ANFIS)

کلیدواژه: Digital Transformation,Open Banking,Banking Innovation,Business Strategy,Business Model

نویسندگان: Mirfallah Lialestani Mohammadali, KHAMSEH ABBAS

ناشر: JOURNAL OF SYSTEM MANAGEMENT - JOURNAL OF SYSTEM MANAGEMENT

Given the emergence of digital transformation from Industry 4 and the rapid dissemination of technological innovations as well as their impact as a strong driving force in new banking businesses, efforts should be made to identify the dimensions of this core factor as rapidly as possible. Providing ... ادامه

سال:2021

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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

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Developing a Hybrid Fuzzy Possibilistic-flexible Modelling with Fuzzy TOPSIS to Solve Financial Investment Mathematical Programming Problems

کلیدواژه: Possibilistic fuzzy mathematical programming,Flexible fuzzy mathematical programming,Fuzzy TOPSIS,Financial investment mathematical modeling

نویسندگان: EBRAHIMI KORDLAR ALI

ناشر: مدیریت صنعتی - Industrial Management Journal

Objective: Uncertainty is inevitable in the real world; nonetheless, Fuzzy logic is regarded as one of the approaches employed in modeling such uncertainty. Therefore, a new field of mathematical programming has been proposed that is called Fuzzy Mathematical programming. Following Bellman and Zadeh... ادامه

سال:2021

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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

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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

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A Hybrid Fuzzy Multi-criteria Decision Making Model Based on Fuzzy DEMATEL with Fuzzy Analytical Network Process and Interpretative Structural Model for Prioritizing LARG Supply Chain Practices

کلیدواژه: LARG Supply Chain,LARG Practices,FDANP Technique,Interpretative Structural Model,Dairy Industries

نویسندگان: AKBARZADEH Z., Safaei Ghadikolaei A.H., MADHOUSHI M., AGHAJANI H.

ناشر: - International Journal of Engineering

In recent years, taking advantage of LARG supply chain (SC) paradigm, a combination of four paradigms (clean, agile, resilience and green) has been increasingly employed. For capturing the advantages of LARG in SC, companies needed to recognize proper practices and implement them with appropriate pl... ادامه

سال:2019

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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

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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

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