Couverture de Prediction of financial distress, using META heuristic models
Titre du livre:

Prediction of financial distress, using META heuristic models

Bankruptcy, Heuristic Models

LAP LAMBERT Academic Publishing (04-07-2018 )

Books loader

Omni badge éligible au bon d'achat
ISBN-13:

978-613-9-86837-7

ISBN-10:
6139868378
EAN:
9786139868377
Langue du livre:
Anglais
texte du rabat:
financial distress prediction models attempt to forecast whether a business will experience financial distress in the future. investors need to assess and analyze the financial statement, to make the logical decision. Using financial ratios is one of the most common methods. The main purpose of this research is to predict the financial distress, using ratios of liquidity. Four models, such as Support vector machine, neural network back propagation, Decision tree and Adaptive Neuro-Fuzzy Inference System had been compared. Furthermore, the ratios of liquidity considered in a period of 2011_2015, so, the research method is qualitative and quantitative and type of casual comparative. The result indicates that, the accuracy of the neural network, Decision tree, and Adaptive Neuro-Fuzzy Inference System illustrates that there is a significant differently 0/000 and 0/005 years this is more than support vector machine result.
Maison d'édition:
LAP LAMBERT Academic Publishing
Site Web:
https://www.lap-publishing.com/
de (auteur) :
Maryam Morady, Ahmadreza Ghasemi, Mohsen Seyghali
Numéro de pages:
120
Publié le:
04-07-2018
Stock:
Disponible
Catégorie:
Économie
Prix:
54.90 €
Mots-clés:
Financial Crisis, Neural Network, Decision Tree, Adaptive neuro-fuzzy inference system, Support Vector Machine

Books loader

Adyen::diners Adyen::jcb Adyen::discover Adyen::amex Adyen::mc Adyen::visa Adyen::cup Adyen::ach Adyen::wechatpay Adyen::unionpay Paypal Virement bancaire

  0 produits dans le panier
Modifier le contenu du panier
Loading frontend
LOADING