Artificial neural networks and support vector machine in banking computer systems

Artificial neural networks and support vector machine in banking computer systems

In this paper, some artificial neural networks as well as a support vector machines have been studied due to bank computer system development. These approaches with the contact-less microprocessor technologies can upsurge the bank competitiveness by adding new functionalities. Moreover, some financi...

Full description

Bibliographic Details
Main Authors:	Jerzy Balicki, Piotr Przybyłek, Marcin Zadroga, Marcin Zakidalski
Format:	Article
Language:	English
Published:	University of Gdansk 2013-12-01
Series:	Contemporary Economy
Subjects:	bank information systems artificial neural networks support vector machines
Online Access:	http://www.wspolczesnagospodarka.pl/?p=669

Similar Items

NEURAL METHODS FOR THE FINANCIAL PREDICTION
by: Jerzy Balicki, et al.
Published: (2016-06-01)

SUPERCOMPUTERS FOR AIDING ECONOMIC PROCESSES WITH REFERENCE TO THE FINANCIAL SECTOR
by: Jerzy Balicki, et al.
Published: (2014-12-01)

Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.
by: Mustafa DEMIRCI, et al.
Published: (2019-03-01)

The Estimation of Turkey's Energy Demand Through Artificial Neural Networks and Support Vector Regression Methods
by: Mehmet Kayakuş
Published: (2020-12-01)

Support vector machines /
by: 208101 Steinwart, Ingo, et al.
Published: (2008)

Assessment of Using Artificial Neural Network and Support Vector Machine Techniques for Predicting Wave-Overtopping Discharges at Coastal Structures
by: Abdullah H. Alshahri, et al.
Published: (2023-03-01)

Bubble Pressure Prediction of Reservoir Fluids using Artificial Neural Network and Support Vector Machine
by: Afshin Dehghani Kiadehi, et al.
Published: (2019-12-01)

Optimization of Effluents Using Artificial Neural Network and Support Vector Regression in Detergent Industrial Wastewater Treatment
by: Dipak Kumar Jana, et al.
Published: (2022-09-01)

Compare the forecasting method of artificial neural network and support vector regression model to measure the bullwhip effect in supply chain
by: E. Fradinata, et al.
Published: (2019-06-01)

Neural network and support vector machine models for the prediction of the liquefaction-induced uplift displacement of tunnels
by: Gang Zheng, et al.
Published: (2021-04-01)

Support Vector Machines in R
by: Alexandros Karatzoglou, et al.
Published: (2006-04-01)

Hybrid Machine Learning Model for Body Fat Percentage Prediction Based on Support Vector Regression and Emotional Artificial Neural Networks
by: Solaf A. Hussain, et al.
Published: (2021-10-01)

Rule extraction from support vector machines /
by: Diederich, Joachim
Published: (2008)

Forecasting daily river flow using an artificial flora–support vector machine hybrid modeling approach (case study: Karkheh Catchment, Iran)
by: R. Dehghani, et al.
Published: (2020-07-01)

Prediction of Compressive Strength of Calcined Clay Based Cement Mortars Using Support Vector Machine and Artificial Neural Network Techniques
by: Joseph Marangu
Published: (2020-04-01)

Support Vector Machines: Training and Applications
by: Osuna, Edgar, et al.
Published: (2004)

Wavelet denoising of partial discharge signals and their pattern classification using artificial neural networks and support vector machines
by: Ian Carlo Guzmán, et al.
Published: (2017-10-01)

An artificial intelligence approach for modeling the rejection of anti-inflammatory drugs by nanofiltration and reverse osmosis membranes using kernel support vector machine and neural networks
by: Ammi, Yamina, et al.
Published: (2021-05-01)

Support vector machines and their application in chemistry and biotechnology /
by: Liang, Yizeng 524337
Published: (c201)

Contextualizing Support Vector Machine Predictions
by: Marcelo Loor, et al.
Published: (2020-09-01)

Prediction of protein residue contact using support vector machine /
by: Chan, Weng Howe, 1987-, author,, et al.
Published: (2011)

Selection of Support Vector Candidates Using Relative Support Distance for Sustainability in Large-Scale Support Vector Machines
by: Minho Ryu, et al.
Published: (2020-10-01)

Prediction of severe accident occurrence time using support vector machines
by: Seung Geun Kim, et al.
Published: (2015-02-01)

Effect of inclusion of natural pozzolan and silica fume in cement - based mortars on the compressive strength utilizing artificial neural networks and support vector machine
by: Hany A. Dahish, et al.
Published: (2023-07-01)

Remote-Sensing-Based Streamflow Forecasting Using Artificial Neural Network and Support Vector Machine Models
by: Mohammed M. Alquraish, et al.
Published: (2021-10-01)

Forecasting Daily Electricity Consumption in Thailand Using Regression, Artificial Neural Network, Support Vector Machine, and Hybrid Models
by: Warut Pannakkong, et al.
Published: (2022-04-01)

A gentle introduction to support vector machines in biomedicine : theory and methods /
by: F. Aliferis, Constantin, et al.
Published: (2011)

Twin Bounded Weighted Relaxed Support Vector Machines
by: Fatemeh Alamdar, et al.
Published: (2019-01-01)

Prediction of Vibration in the Discharge Ring of a River Type Hydroelectric Power Plant with Bulb Turbine Using Artificial Neural Networks and Support Vector Machine
by: Abdullah Emre Oral, et al.
Published: (2022-01-01)

Prediction of Concrete Strength with P-, S-, R-Wave Velocities by Support Vector Machine (SVM) and Artificial Neural Network (ANN)
by: Jong Yil Park, et al.
Published: (2019-09-01)

Prediction of protein residue contact using support vector machine [electronic resource] /
by: Chan, Weng Howe, 1987-, author,
Published: (2011)

Application of Artificial Neural Networks, Support Vector, Adaptive Neuro-Fuzzy Inference Systems for the Moisture Ratio of Parboiled Hulls
by: Vali Rasooli Sharabiani, et al.
Published: (2022-02-01)

Stuck Pipe Detection in Geothermal Operation with Support Vector Machine
by: Sarwono Sarwono, et al.
Published: (2022-09-01)

Modelling river stream flow using support vector machine /
by: Rafidah Ali 1983- 518021, et al.
Published: (2012)

A new fuzzy support vector machine with pinball loss
by: Ram Nayan Verma, et al.
Published: (2023-04-01)

Directional Support Vector Machines
by: Diogo Pernes, et al.
Published: (2019-02-01)

Support vector machine model for regression applied to the estimation of the creep rupture stress in ferritic steels
by: Carlos Alberto Donís-Díaz, et al.
Published: (2013-09-01)

User-friendly optimization approach of fed-batch fermentation conditions for the production of iturin A using artificial neural networks and support vector machine
by: Fudi Chen, et al.
Published: (2015-07-01)

Analyzing of salient features and classification of wine type based on quality through various neural network and support vector machine classifiers
by: Dipak Kumar Jana, et al.
Published: (2023-06-01)

Arabic language script and encoding identification with support vector machines and rough set theory /
by: 281905 Mohamed Ould Mohamed Sidya, et al.
Published: (2007)