Cluster analysis and neural network modeling for movements of industrial production index of the Russian manufacturing industry

2019 ◽  
Vol 18 (11) ◽  
pp. 2158-2171
Author(s):  
P.B. Boldyrevskii ◽  
◽  
A.K. Igoshev ◽  
L.A. Kistanova ◽  
◽  
...  
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
Industrial Production ◽  
Manufacturing Industry ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Production Index ◽  
Industrial Production Index

Industrial Output in the USSR and Russia, 1861—2012. Part II. Crises and Cycles

2013 ◽  
pp. 138-153 ◽  
Author(s):  
S. Smirnov
Keyword(s):  
Industrial Production ◽  
Turning Points ◽  
Russian Empire ◽  
Industrial Output ◽  
Production Index ◽  
Russian Industry ◽  
Industrial Production Index ◽  
Cyclical Volatility

Calculation of the aggregated "consensus" industrial production index has made it possible to date cyclical turning points and to measure the depth and length of the main industrial recessions in Russian Empire/USSR/Russia for the last century and a half. The most important causes of all these recessions are described. The cyclical volatility of Soviet/Russian industry is compared to that of American one.

Water quality parameter forecast based on grey neural network modeling

2009 ◽  
Vol 29 (6) ◽  
pp. 1529-1531 ◽  
Author(s):  
Wei-ren SHI ◽  
Yan-xia WANG ◽  
Yun-jian TANG ◽  
Min FAN
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Network Modeling ◽  
Quality Parameter ◽  
Water Quality Parameter ◽  
Neural Network Modeling

ε-Insensitive Criterion and Structure Risk Based Radius-basis-function Neural-network Modeling

2012 ◽  
Vol 34 (6) ◽  
pp. 1414-1419
Author(s):  
Qing-bing Sang ◽  
Zhao-hong Deng ◽  
Shi-tong Wang ◽  
Xiao-jun Wu
Keyword(s):  
Neural Network ◽  
Basis Function ◽  
Network Modeling ◽  
Neural Network Modeling
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