๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A comparative study of two modeling approaches in neural networks

โœ Scribed by Zong-Ben Xu; Hong Qiao; Jigen Peng; Bo Zhang

Book ID
118590113
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
223 KB
Volume
17
Category
Article
ISSN
0893-6080

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Many researchers have argued that combining many models for forecasting gives better estimates than single time series models. For example, a hybrid architecture comprising an autoregressive integrated moving average model (ARIMA) and a neural network is a well-known technique that has recently been