Application of Wavelet Neural Networks for Monitoring of Extraction of Carbon Multi-Functional Medical Nano-Agents from the Body

被引：4

作者：

Dolenko, Tatiana ^{[1
,2
]}

Efitorov, Alexander ^{[2
]}

Sarmanova, Olga ^{[1
]}

Kotova, Olga ^{[1
]}

Isaev, Igor ^{[1
,2
]}

Laptinskiy, Kirill ^{[2
]}

Dolenko, Sergey ^{[2
]}

Burikov, Sergey ^{[1
,2
]}

机构：

[1] Lomonosov Moscow State Univ, Dept Phys, Leninsky Gory 1-2, Moscow 119991, Russia

[2] Lomonosov Moscow State Univ, Skobeltsyn Inst ofNuclear Phys, Leninsky Gory 1-2, Moscow 119991, Russia

来源：

POSTPROCEEDINGS OF THE 9TH ANNUAL INTERNATIONAL CONFERENCE ON BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES (BICA 2018) | 2018年 / 145卷

基金：

俄罗斯科学基金会; 俄罗斯基础研究基金会;

关键词：

wavelet neural networks; luminescent carbon nanocomposites; spectroscopy; NANOPARTICLES; NANODIAMONDS; CLASSIFICATION; SPECTROSCOPY; PROBES; SIZE; DOTS;

D O I：

10.1016/j.procs.2018.11.036

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the given study the new approach to solution of the problem of monitoring the removal of luminescent nanocomposites and their components from the body with urine is proposed. The monitoring is performed by luminescence spectra with the help of classical perceptron type neural networks and of wavelet neural networks. A comparative analysis of the results obtained with application of multilayer perceptrons and wavelet neural networks is carried out. (C) 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures.

引用

页码：177 / 183

页数：7

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