scholarly journals Natural versus Random Proteins: Nouvel Neural Network Approach Based on Time Series Analysis

2019 ◽  
Author(s):  
Alexei Tsygvintsev
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Binary Classification ◽  
Classification Problem ◽  
Network Approach ◽  
Neural Network Approach ◽  
Hydropathy Index ◽  
Binary Classification Problem ◽  
Hidden Layer ◽  
Different Time Scales

AbstractWe study the set of about 35000 primary structures of natural proteins of length more than 360 residues and the same size set generated via partial or total randomization. Associated to every sequence composed of 20 amino acids, a time series is formed from hydropathy values of the first 360 residues. To measure the absolute deviations of hydropathy index on different time scales, the 24-dimensional vector of total log-amplitudes is introduced. We describe then a configuration of the 1-hidden layer neural network which is trained to solve the binary classification problem of natural and random sequences. A satisfactory distinguishing accuracy random/natural of 88% is obtained.

scholarly journals ESTIMATION OF THE LYAPUNOV SPECTRUM FROM ONE-DIMENSIONAL OBSERVATIONS USING NEURAL NETWORKS

2014 ◽  
pp. 30-34
Author(s):  
Vladimir Golovko
Keyword(s):  
Neural Network ◽  
Dynamical System ◽  
Neural Networks ◽  
Time Series ◽  
Lyapunov Spectrum ◽  
Network Approach ◽  
Neural Network Approach ◽  
One Dimensional ◽  
The Neural Network ◽  
Attractor Dynamics

This paper discusses the neural network approach for computing of Lyapunov spectrum using one dimensional time series from unknown dynamical system. Such an approach is based on the reconstruction of attractor dynamics and applying of multilayer perceptron (MLP) for forecasting the next state of dynamical system from the previous one. It allows for evaluating the Lyapunov spectrum of unknown dynamical system accurately and efficiently only by using one observation. The results of experiments are discussed.

Basic Food Basket Monthly Price of Southern Bahia Cities: A Time Series Forecasting with Deep Learning Using a Recurrent Neural Network Approach

2020 ◽  
Vol 12 (4) ◽  
pp. 146-159
Author(s):  
Murillo A. S. Torres ◽  
Mateus S. Marinho ◽  
Dany S. Dominguez ◽  
Dárcio R. Silva ◽  
Hélder Conceição Almeida
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Deep Learning ◽  
Recurrent Neural Network ◽  
Time Series Forecasting ◽  
Network Approach ◽  
Neural Network Approach ◽  
Southern Bahia ◽  
Food Basket

A neural network approach to the classification problem

1990 ◽  
Vol 1 (4) ◽  
pp. 417-424 ◽  
Author(s):  
James W. Denton ◽  
Ming S. Hung ◽  
Barbara A. Osyk
Keyword(s):  
Neural Network ◽  
Classification Problem ◽  
Network Approach ◽  
Neural Network Approach
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