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

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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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Design of a Hybrid Data-Driven Classification Model for Optimal Selection of Non-Destructive Testing Methods in Weld Inspection

کلیدواژه: Non-destructive inspection, Weld Inspection, Machine Learning, Xgboost, Data-Driven Modeling

نویسندگان: Nazari Gharibdoosti Amirmahdi, Sarai Tabrizi Mahdi

ناشر: فناوری آزمون های غیرمخرب - Non-Destructive Testing Technology

Selecting the most suitable Non-Destructive Testing (NDT) method in industries such as energy, transportation, automotive, aerospace, and oil and gas significantly contributes to quality improvement, minimizing human errors, and reducing operational costs. In this study, a smart, data-driven classif... ادامه

سال:2024

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Hybrid Model Binary ant Colony Algorithm and Support Vector Machine (BACO-SVM) for Feature Selection and Classification of Bank Customers with Case Study

کلیدواژه: credit risk,credit rating,support vector machine,feature selection,Binary ACO,VIKOR

نویسندگان: HUSSEINZADEH KASHAN ALI, GAROUSI FATEMEH

ناشر: راهبرد مدیریت مالی - JOURNAL OF FINANCIAL MANAGEMENT STRATEGY

One of the most important issues faced by banks and financial institutions is the issue of credit risk. The significant amount of deferred bank claims around the world indicates the importance of this issue and the need to pay attention to it. So far, many efforts have been made to provide an effect... ادامه

سال:2020

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Classification of Autonomous, Linkage, Independent and Dependent Industries in Iran’ s Economy: Application of the Hybrid Model of Interpretive-Structural Modeling and Input-Output Table

کلیدواژه: Input-Output,DEMATEL,Interpretive Structural Modeling,Industrial Economics

نویسندگان: GHAEMI ASL MAHDI, RAJABI SAJAD

ناشر: پژوهش های اقتصاد صنعتی - Journal of Industrial Economic Research

In this study, based on the latest Input-Output matrix of the Iranian Statistics Center, first by using the ISM method, the interaction of the industry sectors has analyzed and The ISM total effect matrix used to provide the best results. The highest level of interaction is between the construction ... ادامه

سال:2019

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