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GRIN Verlag Consumer Loan Credit Risk Analyser Using Neural Networks

Amazon

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Last 395 days · 317 data points (no recent data)

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£56.50 £54.38 £54.84 £55.30 £55.77 £56.23 £56.69 02 September 2025 09 December 2025 18 March 2026 24 June 2026 01 October 2026
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Price distribution over 395 days • 3 price levels

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11 days 271 days 35 days · current 0 68 136 203 271 £55 £56 £57 Days at Price

Price Analysis

Most common price: £56 (271 days, 85.5%)

Price range: £55 - £57

Price levels: 3 different prices over 317 days

Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 February 2020
Listed Since
15 February 2020

Barcode

No barcode data available

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