About Neural Networking of Avatar-Based Modeling as an Intellectual Tool and Technology for Biomedical Study in Bioinformatics

About Neural Networking of Avatar-Based Modeling as an Intellectual Tool and Technology for Biomedical Study in Bioinformatics

Vsevolod Chernyshenko (Financial University under the Government of the Russian Federation, Moscow, Russian Federation)
Copyright: © 2019 |Pages: 7
DOI: 10.4018/IJARB.2019070106

Abstract

The article is devoted to the problem of an analytical analysis of neural networks with avatar-based modelling as an intellectual tool and technology for biomedical study in bioinformatics. This is with th use of convolutional and generative neural networks, as well as reinforcement training. An algorithm for predicting future moments of trend change under concrete market conditions based on a generative adversarial networks was developed. Special software was designed that realizes algorithms for predicting the future of study conditions changes, based on the mentioned above algorithms.
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Background

The idea of generative-adversarial natural networks (GANs) was proposed by J. Goodfellow of the University of Montreal (Goodfellow et al., 2014). During literally a couple of years, this method has found its application in the tasks of semantic image segmentation, medical information analysis, material recognition, time series analysis (Luc et al., 2016; Che et al., 2017; Erickson et al., 2017; Esteban et al., 2017; Chen et al., 2016; Hinton & Salakhutdinov, 2006; Mescheder et al., 2017; Dumoulin et al., 2016; Donahue et al., 2016; Li et al., 2017; Reed et al., 2016; Isola et al., 2016; Ledig et al., 2016; Ren et al., 2015; Lee et al., 2016).

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