scholarly journals Discriminant analyses of stock prices by using multifractality of time series generated via multi-agent systems and interpolation based on wavelet transforms

2010 ◽  
Vol 1 (1) ◽  
pp. 133-145
Author(s):  
Shozo Tokinaga ◽  
Yoshikazu Ikeda
Keyword(s):  
Time Series ◽  
Stock Prices ◽  
Wavelet Transforms ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Discriminant Analyses

EARTHQUAKE TIME PREDICTION WITH MULTI-AGENT SYSTEMS

2020 ◽  
Vol 69 (1) ◽  
pp. 275-279
Author(s):  
A.A. Abyurova ◽  
Keyword(s):  
Time Series ◽  
Regression Models ◽  
Research Area ◽  
Seismic Signals ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Time Prediction ◽  
Python Programming Language ◽  
Multi Agent ◽  
Python Programming

This article is devoted to the development of multi-agent systems for predicting the time of earthquakes based on seismic signals. The work uses a dataset from laboratory signals, which used to calculate the time predicted before the next earthquake. The MadKIT platform and the Python programming language are used to build multi-agent systems. The "tsfresh" package is used to calculate a large number of time series characteristics, so-called features, from seismic signals for further use in regression. The article considers one of the regression models - LightGBM. Using it, a set of data was processed and the predicted time of the earthquake was obtained. This article shows the relevance and prospects of the research area, describes the functionality of the created agents

scholarly journals Editorial For Vol.28, No.1

2020 ◽  
Vol 28 (1) ◽  
pp. i-ii
Keyword(s):  
Time Series ◽  
Software Engineering ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

The current, March 2020 (Vol. 28, No. 1), issue of CIT brings papers from the areas of multi-agent systems, time series, software engineering and cybercrime detection, whose respective short summaries traditionally follow below.

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