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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

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

9 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

مشاهده/دانلود

Using Hybrid Model of particle swarm Optimization and Multi-Layer Perceptron Neural Networks for Classification of Diabete

کلیدواژه:

نویسندگان:

ناشر: International Journal of Intelligent Engineering and systems - International Journal of Intelligent Engineering and systems

... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

18 بازدید

مشاهده/دانلود

Comparison of Stock Index Forecasting Using Hybrid Models Based on Genetic Algorithm and Harmonic Search with Artificial Neural Network

کلیدواژه: Genetic Algorithms,Harmony Search,Artificial Neural Networks

نویسندگان: DAVALLOU MARYAM, Heidari Toktam

ناشر: اقتصاد مقداری - Journal of Quantitative Economics

This paper is aimed to compare stock index forecasting using hybrid models based on Genetic Algorithm (GA) and Harmonic Search (HS) with Artificial Neural Network (ANN). The most relevant technical indicators as inputs and the optimal number of neurons in hidden layer of Artificial Neural Network de... ادامه

سال:2018

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

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Predicting Corporate Financial Distress Using a Hybrid Model of Artificial Immune system and Wavelet Neural Network (Artificial Intelligence)

کلیدواژه: Financial Distress,Financial Prediction,Wavelet Neural Network,Artificial Immune System,Logistic Regression,Hybrid Algorithm

نویسندگان: Mehrabi Reza, Hematfar Mahmoud, Sefati Farid

ناشر: تکنولوژی در کارآفرینی و مدیریت استراتژیک - Journal of Technology in Entrepreneurship and Strategic Management

In today's financial landscape, the prediction of corporate financial distress plays a crucial role in risk management and economic stability. This study aims to develop a hybrid predictive model that combines the Artificial Immune system (AIS) with the Wavelet Neural Network (WNN) to forecast finan... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

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Optimization and Modeling of Plasma Cutting of AISI 309 Stainless Steel by Using Neural Network-Genetic Algorithm Hybrid Model

کلیدواژه: Plasma cutting,ANN,Kerf,HAZ,Ra

نویسندگان: Mirabdolahi S.M., ABOOTORABI M.M.

ناشر: مهندسی مکانیک مدرس - Modares Mechanical Engineering

In plasma cutting, a noble gas at high speed is blown from the nozzle and ionized with the help of a frequency spark at high voltage and an electric arc is created which cause the gas changes to the plasma state. Plasma cutting is an ideal process for cutting of the hard metals. In this research, th... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

مشاهده/دانلود

Performance of Dragonfly Algorithm Hybrid Model - Artificial Neural Network for Modeling Settlement of Earth Dam during Construction

کلیدواژه: Construction time, Dam cross section, Dragonfly Algorithm, feature selection, Settlement

نویسندگان: Hakimi Khansar Hosein, Hosseinzadeh Dalir Ali, Parsa Javad, Shiri Jalal

ناشر: دانش آب و خاک - Water and Soil Science

Background and ObjectivesPore water pressure, stress and settlement are the most important geotechnical parameters that must be constantly monitored during the construction of earth dams. Since measuring dam settlement directly at the time of dam construction requires cost and time, the development ... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

2 دانلود

12 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

مشاهده/دانلود

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

لینک به محتوا با زبان هدف

نوع سند: Article

2 دانلود

12 بازدید

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