Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data

2018 ◽  
pp. 435-444 ◽  
Author(s):  
Igor Isaev ◽  
Sergey Burikov ◽  
Tatiana Dolenko ◽  
Kirill Laptinskiy ◽  
Alexey Vervald ◽  
...  
Keyword(s):  
Neural Network ◽  
Inverse Problem ◽  
Network Solution ◽  
Joint Application ◽  
The Neural Network ◽  
Determination Of Parameters

scholarly journals Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 646
Author(s):  
Dániel Leitold ◽  
Ágnes Vathy-Fogarassy ◽  
János Abonyi
Keyword(s):  
Neural Network ◽  
Caenorhabditis Elegans ◽  
Dynamical Systems ◽  
Network Science ◽  
Sensor Placement ◽  
Life Sciences ◽  
The Neural Network ◽  
Structural Controllability ◽  
Controllability And Observability

The network science-based determination of driver nodes and sensor placement has become increasingly popular in the field of dynamical systems over the last decade. In this paper, the applicability of the methodology in the field of life sciences is introduced through the analysis of the neural network of Caenorhabditis elegans. Simultaneously, an Octave and MATLAB-compatible NOCAD toolbox is proposed that provides a set of methods to automatically generate the relevant structural controllability and observability associated measures for linear or linearised systems and compare the different sensor placement methods.

Synthesis, spectral description, and lipophilicity parameters determination of phenylcarbamic acid derivatives with integrated N-phenylpiperazine moiety in the structure

2006 ◽  
Vol 60 (1) ◽  
Author(s):  
I. Malík ◽  
E. Sedlárová ◽  
J. Csöllei ◽  
F. Andriamainty ◽  
P. Kurfürst ◽  
...  
Keyword(s):  
Neural Network ◽  
Spectral Data ◽  
1H Nmr ◽  
Elemental Analysis ◽  
Computer Programs ◽  
Mass Spectral Data ◽  
Mass Spectral ◽  
The Neural Network ◽  
Lipophilicity Parameters

AbstractThe phenylcarbamic acid derivatives with N-phenylpiperazine moiety in the molecule have been prepared. The structure has been confirmed by elemental analysis, IR, 1H NMR, and mass spectral data. For the prepared set of the compounds the lipophilicity parameters have been determined. The experimentally obtained lipophilicity parameters have been correlated with theoretical entries obtained by different computer programs based on the neural network and fragmental methods.

Studies of Synchronous Rotor Gear Monitoring Technique Based on Ant Colony Neural Network

2011 ◽  
Vol 121-126 ◽  
pp. 382-386
Author(s):  
Yi Jun Chen ◽  
Qing Hai Zhao
Keyword(s):  
Neural Network ◽  
Ant Colony Algorithm ◽  
Accurate Determination ◽  
Ant Colony ◽  
Local Minima ◽  
Characteristic Parameters ◽  
Monitoring Technique ◽  
The Neural Network ◽  
Failure Types

In this paper, the nonlinear mapping relationship between characteristic parameters of failures and failure types is realized by using neural network through extracting characteristic variables of failures during operation of the gear. Aiming at the problems of neutral network such as slow convergence speed and existence of local minima, the neural network is optimized and the ant colony neural network is established by using the ant colony algorithm to realize rapid and accurate determination of failure status of a gear from characteristic parameters of failures. In addition, validity of the established model is verified through experiments.

Determination of evidence correction factors based on the neural network

2017 ◽  
Vol 34 (2) ◽  
pp. e12192 ◽  
Author(s):  
Weidong Zhu ◽  
Youhua Xu ◽  
Yong Wu ◽  
Yibo Sun
Keyword(s):  
Neural Network ◽  
Correction Factors ◽  
The Neural Network
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