Security Assessment of Power Systems Using Artificial Neural Networks - A Comparison between Euclidean Distance Based Learning and Supervised Learning Algorithms

2007 ◽  
Author(s):  
A. Rathinam ◽  
S. Padmini
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Power Systems ◽  
Supervised Learning ◽  
Euclidean Distance ◽  
Learning Algorithms ◽  
Security Assessment ◽  
Supervised Learning Algorithms ◽  
Artificial Neural

Supervised Learning with Artificial Neural Networks

2008 ◽  
pp. 24-40
Author(s):  
Darryl Charles ◽  
Colin Fyfe ◽  
Daniel Livingstone ◽  
Stephen McGlinchey
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Problem Solving ◽  
Supervised Learning ◽  
Learning Algorithms ◽  
Theory And Practice ◽  
Delta Rule ◽  
Neural Learning ◽  
Artificial Neural

In this chapter we will look at supervised learning in more detail, beginning with one of the simplest (and earliest) supervised neural learning algorithms – the Delta Rule. The objectives of this chapter are to provide a solid grounding in the theory and practice of problem solving with artificial neural networks – and an appreciation of some of the challenges and practicalities involved in their use.

Preliminary results on using artificial neural networks for security assessment (of power systems)

1991 ◽  
Vol 6 (2) ◽  
pp. 890-896 ◽  
Author(s):  
M. Aggoune ◽  
M.A. El-Sharkawa ◽  
D.C. Park ◽  
M.J. Damborg ◽  
R.J. Marks
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Power Systems ◽  
Security Assessment ◽  
Preliminary Results ◽  
Artificial Neural

Applications of Artificial Neural Networks in the Context of Power Systems

2020 ◽  
pp. 345-373
Author(s):  
Jan-Hendrik Menke ◽  
Marcel Dipp ◽  
Zheng Liu ◽  
Chenjie Ma ◽  
Florian Schäfer ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Power Systems ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document