Sequential Adaptation of Radial Basis Function Neural Networks and its Application to Time-series Prediction

Kadirkamanathan, V., Niranjan, M., Fallside, F.

Dec-31-1991–Neural Information Processing Systems

We develop a sequential adaptation algorithm for radial basis function (RBF) neural networks of Gaussian nodes, based on the method of successive F-Projections.

adaptation algorithm, algorithm, rbf network, (12 more...)

Neural Information Processing Systems

Dec-31-1991

Conferences PDF

Country:
- Europe > United Kingdom
  - England > Cambridgeshire > Cambridge (0.06)
- North America > United States
  - California > San Diego County
    - San Diego (0.04)
  - New Mexico > Los Alamos County
    - Los Alamos (0.05)
  - New York (0.04)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning
  - Neural Networks (1.00)
  - Statistical Learning (1.00)

Duplicate Docs Excel Report

Title
Sequential Adaptation of Radial Basis Function Neural Networks and its Application to Time-series Prediction
Sequential Adaptation of Radial Basis Function Neural Networks and its Application to Time-series Prediction

Similar Docs Excel Report more

Title	Similarity	Source
None found