Work

Classifications Using Artificial Neural Network Method In Protecting Credit Fitness

Year: 2020

Type: article

Abstract: Classification is information that has the closest relationship with data, we make a prediction in providing customer eligibility to get a loan from a financial service institution. In this study, we use the Artificial Neural Network (NN) method in combination with the Particle Swarm Optimization method. It is known that the method has excellent generalizations to solve a problem in increasing accuracy. However, some of the attributes in the data can reduce accuracy and increase the complexity of the Artificial Neural Network (ANN) algorithm. Therefore, attribute selection is very necessary, the attribute selection method used in this study is the Particle swarm optimization (PSO) method. This method can be used for proper attribute selection in determining lending to customers, therefore the Particle Swarm Optimization (PSO) method can increase the value of higher accuracy weights in determining attribute selection.

Source: Indonesian Journal of Artificial Intelligence and Data Mining

Authors: Saputra, Elin Panca, Indriyanti, Indriyanti, Supriatiningsih, Supriatiningsih

Institution: Universitas Bina Sarana Informatika

Language: English

Topic: Financial Distress and Bankruptcy Prediction

Subfield: Accounting

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W3034820780

FWCI:

Cites:

Cited by: 2

Related to: 10