Vi bøger
Levering: 1 - 2 hverdage

Consumer Loan Credit Risk Analyser Using Neural Networks - Shilpa Laddha - Bog

Consumer Loan Credit Risk Analyser Using Neural Networksaf Shilpa Laddha
Bag om Consumer Loan Credit Risk Analyser Using Neural Networks

Master's Thesis from the year 2007 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: When time and foresight permit advance arrangement of loans, the act of borrowing can be made much simpler. When time is short and the need for the loan was not anticipated, the act of going through the process of borrowing may be so time-consuming that obtaining the loan may not be possible at all. Efforts are being made to develop expert system for analyzing credit risk in consumer loan to overcome these problems. Artificial neural networks (ANN) are used as expert system for credit risk analysis in consumer loan. Radial Basis Function (RBF), Recurrent Neural Network (RNN), and Backpropagation or Multilayer Perceptron (MLP) are the three most popular Artificial Neural Network (ANN) tools for the prediction task. We used both feed forward neural network and radial basis function neural network, back propagation algorithm to make the credit risk prediction. The network can be trained with available data to model an arbitrary system. The trained network is then used to predict the risk in granting the loan.

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9783346083661
  • Indbinding:
  • Paperback
  • Sideantal:
  • 128
  • Udgivet:
  • 14. Februar 2020
  • Udgave:
  • 20001
  • Størrelse:
  • 148x10x210 mm.
  • Vægt:
  • 197 g.
  • 2-3 uger.
  • 16. April 2024
På lager

Normalpris

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Consumer Loan Credit Risk Analyser Using Neural Networks

Master's Thesis from the year 2007 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: When time and foresight permit advance arrangement of loans, the act of borrowing can be made much simpler. When time is short and the need for the loan was not anticipated, the act of going through the process of borrowing may be so time-consuming that obtaining the loan may not be possible at all.

Efforts are being made to develop expert system for analyzing credit risk in consumer loan to overcome these problems. Artificial neural networks (ANN) are used as expert system for credit risk analysis in consumer loan. Radial Basis Function (RBF), Recurrent Neural Network (RNN), and Backpropagation or Multilayer Perceptron (MLP) are the three most popular Artificial Neural Network (ANN) tools for the prediction task.

We used both feed forward neural network and radial basis function neural network, back propagation algorithm to make the credit risk prediction. The network can be trained with available data to model an arbitrary system. The trained network is then used to predict the risk in granting the loan.

Brugerbedømmelser af Consumer Loan Credit Risk Analyser Using Neural Networks



Find lignende bøger
Bogen Consumer Loan Credit Risk Analyser Using Neural Networks findes i følgende kategorier:

Gør som tusindvis af andre bogelskere

Tilmeld dig nyhedsbrevet og få gode tilbud og inspiration til din næste læsning.