A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems-Reference-Cited by-同舟云学术

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A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems

Published:2004-03 Issue:2 Volume:17 Page:145-158
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Herzallah Randa,Lowe David

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference48 articles.

1. A new approach to manipulator control;Albus;Transactions of the ASME Journal of Dynamic Systems, Measurements, and Control,1975

2. Connectionist learning for control;Barto,1990

3. Adaptive Control Processes;Bellman,1961

4. Applied Dynamic Programming;Bellman,1962

5. Neural Networks for Pattern Recognition;Bishop,1995

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