Bootstrapping Neural Networks for Time Series Forecasting
In this study artificial neural networks (ANNs) are utilized for time series forecasting. Analyzed time series includes two Google AdWords metrics and revenue for an e-commerce. Classes of ANNs included in the analysis are feedforward multilayer perceptron’s and two types of recurrent neural networks (RNNs), specifically Jordan- and Elman neural networks. Since ANNs lack econometric interpretation
