Predicting Daily Returns of Global Stocks Indices: Neural Networks vs Support Vector Machines

Journal of Economics, Management and Trade
doi 10.9734/jemt/2019/v24i630179
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Sciencedomain International

Related search

Support Vector Machines Versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation

IFIP Advances in Information and Communication Technology
Computer NetworksInformation SystemsManagementCommunications
2011English

Breast Tumor Classification in Ultrasound Images Using Support Vector Machines and Neural Networks

Research on Biomedical Engineering
Biomedical Engineering
2016English

The Recognition of Partially Occluded Objects With Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks

Journal of Artificial Intelligence and Soft Computing Research
Information SystemsPattern RecognitionSimulationHardwareComputer VisionArchitectureModelingArtificial Intelligence
2014English

Predicting Daily Distribution of Solar Irradiation by Neural Networks

Renewable Energy and Power Quality Journal
Electronic EngineeringEnergy EngineeringRenewable EnergySustainabilityElectricalPower Technologythe Environment
2009English

Robust Soft Sensors Based on Integration of Genetic Programming, Analytical Neural Networks, and Support Vector Machines

English

Application of Support Vector Machines to Global Prediction of Nuclear Properties

2006English

Properties of Support Vector Machines

Neural Computation
ArtsCognitive NeuroscienceHumanities
1998English

Comparing Performance of Interval Neutrosophic Sets and Neural Networks With Support Vector Machines for Binary Classification Problems

2008English

Comparison of Support-Vector Machines and Back Propagation Neural Networks in Forecasting the Six Major Asian Stock Markets

International Journal of Electronic Finance
FinanceComputer NetworksCommunicationsComputer Science ApplicationsInnovationManagement of TechnologyE-learning
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy