Neural and Bayesian networks in the problem of credit risk analysis

Neural and Bayesian networks in the problem of credit risk analysis

The research touches upon analysis of defaults for credit borrowers of financial institution using three types of mathematical models and actual statistical data from a bank. The results of the three models constructing in the form of back propagation neural net, static Bayesian network and their co...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Datum:	2015
Hauptverfasser:	Kuznietsova, N. V., Bidyuk, P. I.
Format:	Artikel
Sprache:	Ukrainian
Veröffentlicht:	Інститут проблем реєстрації інформації НАН України 2015
Schlagworte:	integrated approach neural networks Bayesian networks сredit risks
Online Zugang:	http://drsp.ipri.kiev.ua/article/view/100321
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Data Recording, Storage & Processing

Institution

Data Recording, Storage & Processing

Ähnliche Einträge

Modeling technology based on fuzzy object-oriented Bayesian belief networks
von: Yershov, S.V., et al.
Veröffentlicht: (2018)

A generalized methodology of sign language recognition on video streams based on neural networks and transformers
von: Кузнєцова, Н. В., et al.
Veröffentlicht: (2023)

Method for political propaganda detection in internet content using neural network natural language processing tools
von: Krak, Iu.V., et al.
Veröffentlicht: (2024)

Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid
von: Sahraoui, H., et al.
Veröffentlicht: (2021)

The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data
von: Krysenko, Pavlo
Veröffentlicht: (2025)

A prediction of the frequency of non-periodic signals based on convolutional neural networks
von: Subbotin, S. A., et al.
Veröffentlicht: (2018)

APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS
von: Gorbunov, A. A., et al.
Veröffentlicht: (2017)

New application of artificial neural network-based direct power control for permanent magnet synchronous generator
von: Akkouchi, K., et al.
Veröffentlicht: (2021)

Recurrent neural networks for the problem of improving numerical meteorological forecasts
von: Doroshenko, А.Yu., et al.
Veröffentlicht: (2023)

Neural network based method of a user identification by keyboard handwriting
von: Danyliuk, I. I., et al.
Veröffentlicht: (2018)

Recurrent neural network model for music generation
von: Komarskiy, O.C., et al.
Veröffentlicht: (2022)

Optimization of auto-tuning of programs using neural networks
von: Doroshenko, А.Yu., et al.
Veröffentlicht: (2018)

Development and research of a modified convolutional neural network for malaria cell pattern recognition
von: Федорченко, Є. М., et al.
Veröffentlicht: (2023)

Double layer back propagation neural network based on restricted Boltzmann machines for forecasting daily particulate matter 2.5
von: Fu, Minglei, et al.
Veröffentlicht: (2017)

Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks
von: Bengharbi, A. A., et al.
Veröffentlicht: (2022)

Formal verification of deep neural networks
von: Panchuk, B.O.
Veröffentlicht: (2024)

Neural network modeling of critical tempe-ratures for steel pitting.
von: Korniienko, O. V., et al.
Veröffentlicht: (2019)

FEATURES OF RISK MANAGEMENT IN THE EARLY STAGES OF THE DEVELOP-MENT OF INNOVATIVE PROJECTS TO ENHANCE THE ENERGY EFFICIENCY OF TECHNICAL DEVICES FOR CONVERSING ENERGY
von: Statsenko, V, et al.
Veröffentlicht: (2019)

Modelling videocard memory performance for LLM neural networks
von: Rahozin, D.V., et al.
Veröffentlicht: (2024)

DETERMINING THE INTENSITY OF A POINT-LIKE SOURCE OBSERVED ON THE BACKGROUND OF AN EXTENDED SOURCE
von: Kornienko, Y. V., et al.
Veröffentlicht: (2015)

Convolutional neural network model and software for classification of typical pests
von: Bezliudnyi, Y.S., et al.
Veröffentlicht: (2022)

Construction of diagnostic expert-medical system using neural networks
von: Glybovets, M.M., et al.
Veröffentlicht: (2020)

Application of neural networks in OLAP-systems
von: Nabibayeva, G.Ch.
Veröffentlicht: (2024)

Neural network modeling in the problem of localization earthquake of Ukraine
von: Gerasymenko, O.O., et al.
Veröffentlicht: (2020)

Assessment of changes in the technical condition of damaged multi-story buildings by using artificial intelligence
von: Berchun, Yaroslav, et al.
Veröffentlicht: (2025)

Software package for adaptive training of robot controllers based on neural networks
von: Vitiuk, A.Y., et al.
Veröffentlicht: (2023)

Research of network relaxation time as a charac-teristic of network nodes.
von: Lande, D. V., et al.
Veröffentlicht: (2019)

DEVELOPMENT OF FUZZY NEURAL NETWORK FOR THE INTERPRETATION OF THE RESULTS OF DISSOLVED IN OIL GASES ANALYSIS
von: Bondarenko, V. E., et al.
Veröffentlicht: (2017)

Practical content of the elements of petrophysical model of terrigenous sandstones — oil and gas reservoirs in neural networks, deep learning and regression methods
von: Vyzhva, Serhiy, et al.
Veröffentlicht: (2025)

Application of neural networks modeling for interpretation of acoustic logging traces
von: Lazarenko, M., et al.
Veröffentlicht: (2015)

Improvement of cereal harvest programming methods using computer simulation information technology
von: Terentiev, Oleksandr M., et al.
Veröffentlicht: (2023)

Application of a wavelet neural network approach to detect stator winding short circuits in asynchronous machines
von: Sakhara, S., et al.
Veröffentlicht: (2023)

Complex networks with modified rule of preferred connection
von: Snarsky, A. A., et al.
Veröffentlicht: (2015)

Implementation of neural network based 2D seismic images super resolution approach
von: Noskov, Oleksii, et al.
Veröffentlicht: (2025)

Automatic development of deep neural networks for improving numerical meteorological forecast
von: Doroshenko, А.Yu., et al.
Veröffentlicht: (2024)

Mathematical models and methods for solving some problems on the information security
von: Никифоров, О. В., et al.
Veröffentlicht: (2023)

Analysis of risks in network models of projects by means of simulating optimization methods
von: Kuzmychov, A. I.
Veröffentlicht: (2017)

Self-learning neural network technologies in the systems of structural recognition of visual objects
von: Berestovskii, A. E., et al.
Veröffentlicht: (2015)

Features of building recommendation systems based on neural network technology using multithreading
von: Komleva, N.O., et al.
Veröffentlicht: (2023)

Scoring card’s development for banking activities risks’ analysis
von: Kuznietsova, N. V.
Veröffentlicht: (2017)