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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

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

13 بازدید

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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

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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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

9 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

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13 بازدید

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Explaining network model of Social Responsibility Actors in Accounting from Perspective of Corporate governance system

کلیدواژه: Sociology,Actor Network,Corporate Governance System,Corporate Social Responsibility

نویسندگان: MOHAMMADI OMID, GIVAKI EBRAHIM, Kabiri Mohamad Taghi, MOSLEMI AZAR

ناشر: حسابداری و منافع اجتماعی - حسابداری و منافع اجتماعی

Objective: The research is aimed at designing network model of social responsibility actors in accounting from perspective of Corporate governance system. Method: To achieve research goal, primarily and studying theoretical foundations, research background, and performing semi-structured interviews ... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

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17 بازدید

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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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

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Development of Hybrid Bayesian network model for Multi-Hazards Risk Assessment of Irrigation network

کلیدواژه: Risk Assessment,Agricultural Water System,Improper Performance of the Ditch-Riders,Operational Losses,Roodasht Irrigation Network

نویسندگان: BOZORGI ATIYEH, ROOZBAHANI ABBAS, HASHEMY SHAHDANY MEHDY

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

Since the majority of water resources is used for agricultural purposes, irrigation and drainage networks become important. Moreover, these networks are threatened by various natural and unnatural hazards that each one can affect the performance of the network. This research seeks to develop a risk ... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

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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

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

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Estimation of Reference Evapotranspiration Using Artificial neural network models and the Hybrid Wavelet neural network

کلیدواژه: Water Requirement,Davbechies Wave-let,Temperature,Statistical Indices,Shahrekord

نویسندگان: GANJI KHORRAMDEL N., Hoseini S. M. R.

ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial neural networks, neural network wavelet model, Multivariate regression and Hargreaves' empirical method were used to... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

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Spatial-Temporal Disaggregation of Rainfall Time Series Using Wavelet-Artificial neural network Hybrid model

کلیدواژه: Rainfall Time Series,Disaggregation,Artificial Neural Networks,Wavelet Transform,Hybrid Model

نویسندگان: Farboudfam N., NOURANI V., AMINNEJAD B.

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

Due to the need to simulate rainfall time series at different time scales for engineering purposes on one hand and lack of recordings for these parameters in small scales caused by the administrative and financial problems, on the other hand, disaggregation of rainfall time series to the desired sca... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

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