Application of quantum genetic optimization of LVQ neural network in smart city traffic network prediction

F Zhang, TY Wu, Y Wang, R Xiong, G Ding, P Mei… - IEEE …, 2020 - ieeexplore.ieee.org
Accurate prediction of traffic flow in urban networks is of great significance for smart city
management. A short-term traffic flow prediction algorithm of Quantum Genetic Algorithm …

Multi-class misclassification cost matrix for credit ratings in peer-to-peer lending

H Wang, G Kou, Y Peng - Journal of the Operational Research …, 2021 - Taylor & Francis
Online peer-to-peer (P2P) lending is a new form of loans. Different from traditional banks,
lenders provide loans to borrowers directly through P2P platforms. Since many P2P loans …

Credit risk assessment mechanism of personal auto loan based on PSO-XGBoost Model

C Rao, Y Liu, M Goh - Complex & Intelligent Systems, 2023 - Springer
As online P2P loans in automotive financing grows, there is a need to manage and control
the credit risk of the personal auto loans. In this paper, the personal auto loans data sets on …

[HTML][HTML] Ten-year evolution on credit risk research: a Systematic Literature Review approach and discussion

F Medeiros Assef, MT Arns Steiner - Ingeniería e investigación, 2020 - scielo.org.co
Given its importance in financial risk management, credit risk analysis, since its introduction
in 1950, has been a major influence both in academic research and in practical situations. In …

Biogeography based optimization for mining rules to assess credit risk

PK Giri, SS De, S Dehuri, SB Cho - Intelligent Systems in …, 2021 - Wiley Online Library
Financial institutions, by and large, rely on the use of machine learning techniques to
improve the classic credit risk assessment model for reduction of costs, delivery of faster …

A multi-stage integrated model based on deep neural network for credit risk assessment with unbalanced data

L Wang, J Zheng, J Yao, Y Chen - Kybernetes, 2024 - emerald.com
Purpose With the rapid growth of the domestic lending industry, assessing whether the
borrower of each loan is at risk of default is a pressing issue for financial institutions …

SME steeplechase: When obtaining money is harder than innovating

MB Guercio, LB Martinez, AF Bariviera - International Journal of Financial …, 2019 - mdpi.com
In this paper, we analyze the main characteristics of European Small and Medium
Enterprises (SMEs), related to the demand for and access to external financial resources …

Evolution prediction of unconventional emergencies via neural network: An empirical study of megacities

N Chen, D Zhou, Y Ma, A Chen - International journal of disaster risk …, 2019 - Elsevier
Megacities occupy an important position in the country they locate and even the whole
world. Therefore it is of great significance to investigate the evolution mechanism of …

Post-pandemic performance of micro, small and medium-sized enterprises: A Self-organizing Maps application

LB Martinez, V Scherger, S Orazi - Cogent Business & …, 2023 - Taylor & Francis
This paper examines the post-pandemic performance of micro, small, and medium-sized
firms using Self-Organizing Maps (SOMs), a type of Artificial Neural Network that groups …

A regional Kohonen map of financial inclusion and related macroeconomic variables

S Orazi, LB Martinez, HP Vigier, MB Guercio - 2020 - ri.conicet.gov.ar
Financial inclusion increases savings, promotes investment and the expansion of the
domestic market, and consequently favors economic growth. In this work, the evolution of a …