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Neural networks are one of the widely-used time series forecasting methods in time series applications. Among different neural network architectures and learning algorithms, the most popular choice is the feedforward Multilayer Perceptron... more
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      Computer ScienceTime SeriesForecastingNeural Networks
There are two important limitations of standard tree-based genetic programming (GP). First, GP tends to evolve unnecessarily large programs, what is referred to as bloat. Second, GP uses inefficient search operators that focus on... more
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      Genetic ProgrammingLocal Search (Computer Science)bloatNEAT
Neural networks are one of the widely-used time series forecasting methods in time series applications. Among different neural network architectures and learning algorithms, the most popular choice is the feedforward Multilayer Perceptron... more
    • by  and +1
    •   6  
      Time SeriesForecastingNeural NetworksMLP
Neural networks are one of the widely-used time series forecasting methods in time series applications. Among different neural network architectures and learning algorithms, the most popular choice is the feedforward Multilayer Perceptron... more
    • by 
    •   11  
      Computer ScienceTime SeriesForecastingNeural Networks
Die Geschichte der kürzlich eröffneten Neuen Eisenbahn-Alpentransversale (NEAT) - der beiden Alpenbahnlinien durch den Lötschbergtunnel und den Gotthardtunnel - geht auf Pläne der späten 1960er und frühen 1970er-Jahre zurück, die... more
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      Railway and Transportation HistoryEuropean Transport PolicyHeavy Freight HaulersTrans-European Transport Networks