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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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Evaluating the Performance of GRU-LSTM Hybrid Model in Predicting the Dust Storms Events (Case Study: Khuzestan Province in Southwest of Iran)

کلیدواژه: Prediction,Dust Storm,SVM,GRU-LSTM Method,Khuzestan Province

نویسندگان: Ansari Ghojghar M., ARAGHINEJAD SH., BAZRAFSHAN J., ZAHRAIE B., PARSI E.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Understanding the frequency of dust storms in each area and being mindful of temporal-spatial variation of this event can help to monitor and reduce the damages induced by dust events. Due to the increasing development of metamodels and their combination with optimization algorithms used to model an... ادامه

سال:2021

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Evaluation of the Neuro-Fuzzy and Hybrid Wavelet-Neural Models Efficiency in River Flow Forecasting (Case Study: Mohmmad Abad Watershed)

کلیدواژه: Daily flow time series,Flow forecasting,Neuro-fuzzy model,Wavelet-neural model

نویسندگان: Niromandfard Fariba, KHASHEI SIUKI ABBAS, SHAHIDI ALI

ناشر: پژوهشنامه مدیریت حوزه آبخیز - Journal of Watershed Management Research

One of the most important issues in watersheds management is rainfall-runoff hydrological process forecasting. Using new models in this field can contribute to proper management and planning. In addition, river flow forecasting, especially in flood conditions, will allow authorities to reduce the ri... ادامه

سال:2019

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Tabriz Daily Rainfalls Modeling via Hybridized Tree Based and Seasonal-Trend Component Bagging Method

کلیدواژه: Bagging Method,Decomposition,Modified Wilmot,Tree Models,Urmia Lake Basin

نویسندگان: JAVIDAN S., SATTARI M.T., Mohsenzadeh Sh.

ناشر: آب و خاک - Journal of Water and Soil

Introduction Precipitation is one of the most important components of water cycle. Accurate precipitation measurement is essential for flood forecasting and control, drought analysis, runoff modeling, sediment control and management, watershed management, agricultural irrigation planning, and water ... ادامه

سال:2022

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Introduction of a Hybrid Multi-phase Segmentation Method Emphasizing Agricultural Land Boundary Extraction based on a Combination of Active Contour Models

کلیدواژه: :Active Contour,Extraction of Agricultural Land Boundaries,Edge,Region Information,Multiphase Model

نویسندگان: sh. Haghshenas, EBADI H., KIANI A.

ناشر: علوم و فنون نقشه برداری - JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY

Detecting agricultural land borders from high-resolution imagery is a major challenge due to the complex earth environment، which has become a significant issue in researches. Lack of location data to determine the area and location of agricultural land، to control and plan about cultivation and foo... ادامه

سال:2019

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Predicting Unconfined Compressive Strength of Intact Rock Using New Hybrid Intelligent Models

کلیدواژه: Intact rock,Unconfined compressive strength,Adaptive neuro-fuzzy inference system,Genetic algorithm,Particle swarm optimization

نویسندگان: REZAEI M., Asadizadeh M.

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

Bedrock unconfined compressive strength (UCS) is a key parameter in designing the geosciences and building related projects comprising both the underground and surface rock structures. Determination of rock UCS using standard laboratory tests is a complicated, expensive, and time-consuming process, ... ادامه

سال:2020

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Qard-al-Hasan-based monetary policy and the role of the central bank as the lender of last resort

کلیدواژه: Central bank ؛ Lender of last resort ؛ Liquid asset holdings ؛ Liquidity risk management ؛ Qard al-Hasan-based monetary policy

نویسندگان: M. Selim ؛ M. Hassan

ناشر:

This paper aims to examine how a central bank (CB) can act as a lender of last resort (LOLR) for both Islamic and conventional interest-based banks by pursuing a Qard-al-Hasan (QH)-based monetary policy (MP). Design/methodology/approach – The role of the CB as LOLR under QH-basedMP and its effects o... ادامه

سال:2020

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The Moral Value of Universal Justice: The Multiplicity of Identities of the Forces Involved in the Economic Tensions Caused by Injustice and Discrimination and Its Impact on the Management of Unrest

کلیدواژه: Ethics,Universal justice,Economic discrimination,Multiple identities

نویسندگان: Ashjari M., Maghsoudi M., Morshidizad A., Tohidfam M.

ناشر: اخلاق در علوم و فناوری - Ethics in Science and Technology

Background: Justice is one of the most important moral values and it is the condition for the emergence of many other moral values in the social, economic and political fields. One of the components that shows injustice in a society is economic discrimination. Economic discrimination creates economi... ادامه

سال:2024

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Modeling and Evaluation of Hybrid Covert Timing Channel on Internet Using Coloured Petri net

کلیدواژه: Covert Timing Channel,Inter-Packet Gap,Packet Reordering,Packet Loss,Modeling Coloured Petri Net

نویسندگان: DEHGHANI M., SALEH ESFAHANI M.

ناشر: علوم و فناوری های پدافند نوین - Advanced Defense Science and Technology

Covert timing channels are used to transmit information through computer networks in a seamless or secret way. Inter-packet gap and packet reordering are among techniques of encoding information in covert channels. Several reports on evaluating the capacity and the robustness of covert channels are ... ادامه

سال:2014

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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

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