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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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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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Evaluation of the Accuracy of Wavelet-neuro-fuzzy, neuro-fuzzy, and Wavelet Hybrid Models in Groundwater Level Prediction (Case Study: Birjand Plain)

کلیدواژه: Wavelet analysis, Groundwater Level, Birjand plain, Fuzzy Neural Network, Water resources management

نویسندگان: Dastuorani Mehdi, Khayat Amir, Akhondi Zahra

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Given the scarcity of water resources and the importance of their optimal management, accurate prediction of groundwater level fluctuations is essential. Intelligent models such as time series, wavelet analysis, artificial neural networks, and support vector machines can help in the sustainable u... ادامه

سال:2024

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Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (neuro-fuzzy Network) Method in Forest Degradation (Case Study: Sari County)

کلیدواژه: Intelligent Modeling,Multilayer Perceptron,Neural-Fuzzy,Forest Degradation

نویسندگان: Mehrabadi Somayeh

ناشر: تحقیقات کاربردی علوم جغرافیایی - Journal of Applied Researches in Geographical Sciences

The classical methods, also known as hard methods, are based on the accuracy of calculations, while the real world is founded on the inaccuracy of boundaries and the uncertainties, which is more consistent with soft computing methods. Each of these methods has its own strengths and weaknesses, and t... 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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A Hybrid Heuristic Algorithm to Provide a Multi-Objective fuzzy Supply Chain Model with a Passive Defense Approach

کلیدواژه: Supply chain,Sustainability,Passive defense,Multi-objective fuzzy optimization,Meta-heuristic algorithm

نویسندگان: Ayoughi Hamidreza, Dehghani Poudeh Hossein, Raad Abbas, Talebi Davood

ناشر: کنترل و بهینه سازی در ریاضیات کاربردی - CONTROL AND OPTIMIZATION IN APPLIED MATHEMATICS

In this paper, a stable multi-objective model of location, inventory, and supply chain routing is presented under conditions of uncertainty and using a passive defense approach. Parameters such as demand, cost of setting up the facility and cost of maintaining inventory are considered uncertain and ... ادامه

سال:2022

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Application of Adaptive Neural-fuzzy Intelligent Models in Extension of Hybrid Force/Displacement Seismic Design method for EBF Regular Structures, subjected to Near-fault Earthquakes

کلیدواژه: Hybrid Force/Displacement Design,Time History Analysis,Seismic demand,Pulse-type near-fault earthquake,Adaptive Neural-Fuzzy Intelligent Models

نویسندگان: Razavi Seyed Abdonnabi, Siahpolo Navid, Mahdavi Adeli Mehdi

ناشر: مهندسی عمران مدرس - Modares Civil Engineering journal

Due to the significant advantages of the performance-based seismic design method, such as the possibility of determining the possible damage and financial and human losses of residents and neighbors of the structure, this method has been widely welcomed. However, since this method requires more soph... ادامه

سال:2022

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Islamic Banking and Risk, An Adaptive analysis

کلیدواژه: Islamic Banking,Risk Management,Credit risk,Liquidity risk,Market risk,Operational risk

نویسندگان: ALAMOLHODA SEYYED SAJJAD

ناشر: اقتصاد مالی - Financial Economics

Islamic banking has unique features compared with conventional banking in attracting and using financial resources. In this type of banking, the essential principle is the division of profits and losses from transactions as well as avoiding interest or usury caused these financial institutions are d... ادامه

سال:2018

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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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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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