Javier Roca-Pardiñas

Journal of Computational and Applied Mathematics · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Javier Roca-Pardiñas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jeffrey L. Elman

Who trusts Javier Roca-Pardiñas overall

1. Tanujit Chakraborty

Papers from Javier Roca-Pardiñas's perspective

Ordered by how strongly the researchers Javier Roca-Pardiñas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Combining neural network model with seasonal time series ARIMA model
2. Time series forecasting using a hybrid ARIMA and neural network model
3. Automatic Time Series Forecasting: The forecast Package for R
4. Finding Structure in Time
5. Resolve of overlapping voltammetric signals in using a wavelet packet transform based Elman recurrent neural network
6. Prediction of PM2.5 concentrations several hours in advance using neural networks in Santiago, Chile
7. A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile
8. Training feedforward networks with the Marquardt algorithm
9. Time series analysis, forecasting and control
10. Estimating the Dimension of a Model

Their papers

• A hybrid ARIMA–SVM model for the study of the remaining useful life of aircraft engines (2019) — 205 citations
• Forecasting SO 2 Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models (2013) — 40 citations