Modeling slump flow of concrete using second-order regressions and artificial neural networks

2007 ◽  
Vol 29 (6) ◽  
pp. 474-480 ◽  
Author(s):  
I-Cheng Yeh
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Second Order ◽  
Slump Flow ◽  
Artificial Neural

Design and implementation of a self-tuning control using artificial neural networks of second order

2006 ◽  
Author(s):  
Mario Ibarra-manzano ◽  
Dora Almanza-ojeda ◽  
Andres Hernandez-Gutierrez ◽  
Juan Amezquita-sanchez ◽  
Luis Lopez-martinez
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Second Order ◽  
Design And Implementation ◽  
Self Tuning ◽  
Artificial Neural

scholarly journals Timing of Vote Decision in First and Second Order Dutch Elections 1978–1995: Evidence from Artificial Neural Networks

1998 ◽  
Vol 7 ◽  
pp. 117-142 ◽  
Author(s):  
Rob Eisinga ◽  
Philip Hans Franses ◽  
Dick van Dijk
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Second Order ◽  
Political Campaigns ◽  
Parliamentary Election ◽  
Vote Decision ◽  
City Councils ◽  
Political Analysis ◽  
Cyclical Pattern ◽  
Artificial Neural

A time series (t = 921) of weekly survey data on vote intentions in the Netherlands for the period 1978–1995 shows that the percentage of undecided voters follows a cyclical pattern over the election calendar. The otherwise substantial percentage of undecided voters decreases sharply in weeks leading up to an election and gradually increases afterwards. This article models the dynamics of this asymmetric electoral cycle using artificial neural networks, with the purpose of estimating when the undecided voters start making up their minds. We find that they begin to decide which party to vote for nine weeks before a first order national parliamentary election and one to four weeks before a second order election, depending on the type of election (European Parliament, Provincial States, City-councils). The effect of political campaigns and the implications for political analysis are discussed.

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