✦ LIBER ✦

Automatic neural network modeling for univariate time series

✍ Scribed by Sandy D. Balkin; J.Keith Ord

Book ID: 114174635
Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 99 KB
Volume: 16
Category: Article
ISSN: 0169-2070
DOI: 10.1016/s0169-2070(00)00072-8

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Toward Automatic Time-Series Forecasting

Toward Automatic Time-Series Forecasting Using Neural Networks

✍ Weizhong Yan 📂 Article 📅 2012 🏛 Institute of Electrical and Electronics Engineers 🌐 English ⚖ 533 KB

Hybrid neural network models for hydrolo

Hybrid neural network models for hydrologic time series forecasting

✍ Ashu Jain; Avadhnam Madhav Kumar 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 163 KB

Building neural network models for time

Building neural network models for time series: a statistical approach

✍ Marcelo C. Medeiros; Timo Teräsvirta; Gianluigi Rech 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 360 KB

This paper is concerned with modelling time series by single hidden layer feedforward neural network models. A coherent modelling strategy based on statistical inference is presented. Variable selection is carried out using simple existing techniques. The problem of selecting the number of hidden un

Determining Inputs for Neural Network Mo

Determining Inputs for Neural Network Models of Multivariate Time Series

✍ H. R. Maier; G. C. Dandy 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 540 KB

Portfolio efficiency of univariate time

Portfolio efficiency of univariate time series models

✍ R Östermark 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 865 KB

A multivariate approach to modeling univ

A multivariate approach to modeling univariate seasonal time series

✍ Philip Hans Franses 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 1023 KB