# Tagged Questions

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### How to find the input layer and the architecture for a Neural Network

I'm a software developer and I'll like to learn about neural networks. At this point I've find a problem which I'll like to solve at some point. It is about electrical load forecasting. I'm looking ...
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### Time series forecasting and wavelet transform

In article1 and article2 the authors proposed a method for forecasting electricity prices by using a wavelet transform. They decompose the original price P to 4 in ...
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### lag in prediction outputs in one-step ahead neural network autoregressive model

I am working on an ARX forecasting problem mostly using feed-forward neural networks in MATLAB. The functional model is of the form $y(t) = f(y(t-1),...,y(t-n),u(t))$. My data is at half hourly ...
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### Choosing cost function for a neural network continuous forecast

I´m using Octave to build a Neural Network regression (3 layers nn, using tanh as activation function, fmincg as optimizer and continuous output). The purpose of the model is to forecast demand for ...
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### Cross-validation with neural networks yielding worse results than a standard neural network

Summary: when using a 10-fold cross-validation procedure where each training set is used to generate N bootstrap samples for processing with NNs. How do I provide my NN with correct sequence and ...
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### Predicting time series with NNs: should the data set be shuffled?

Suppose I'm trying to predict time series with a neural network. The data set is created from a single column of temporal data, where the inputs of each pattern are ...
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### How to select input values for neural networks?

I'm new to forecasting using neural networks. I have decided to use feedforward backpropagation algorithm. What are the input values if I have past data and what is the technique to select input ...