𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A local linear radial basis function neural network for financial time-series forecasting

✍ Scribed by Vahab Nekoukar; Mohammad Taghi Hamidi Beheshti


Publisher
Springer US
Year
2009
Tongue
English
Weight
251 KB
Volume
33
Category
Article
ISSN
0924-669X

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Auto-configuring radial basis function n
✍ Li-Chiu Chang; Fi-John Chang; Yuan-Peng Wang 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 486 KB

## Abstract The learning strategy of the radial basis function network (RBFN) commonly uses a hybrid learning process to identify the structure and then proceed to search the model parameters, which is a time‐consuming procedure. We proposed an evolutionary way to automatically configure the struct

Time series forecasting by combining the
✍ Gwo-Fong Lin; Lu-Hsien Chen 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 148 KB 👁 1 views

## Abstract Based on a combination of a radial basis function network (RBFN) and a self‐organizing map (SOM), a time‐series forecasting model is proposed. Traditionally, the positioning of the radial basis centres is a crucial problem for the RBFN. In the proposed model, an SOM is used to construct

Dual-orthogonal radial basis function ne
✍ Steve A. Billings; X. Hong 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 359 KB

A new structure of Radial Basis Function (RBF) neural network called the Dual-orthogonal RBF Network (DRBF) is introduced for nonlinear time series prediction. The hidden nodes of a conventional RBF network compare the Euclidean distance between the network input vector and the centres, and the node