24-09-2012, 10:37 AM
ARTIFICIAL NEURAL NETWORK & ITS APPLICATION
ARTIFICIAL NEURAL NETWORK & ITS APPLICATION.pptx (Size: 1.04 MB / Downloads: 21)
What are Neural Networks?
Models of the brain and nervous system
Highly parallel
Process information much more like the brain than a serial computer
Learning
Very simple principles
Very complex behaviours
Applications
As powerful problem solvers
As biological models
Biological Neural Nets
Pigeons were able to discriminate between Painter A and Painter B with 95% accuracy (when presented with pictures they had been trained on).
Discrimination still 85% successful for previously unseen paintings of the artists.
Pigeons do not simply memorise the pictures
They can extract and recognise patterns (the ‘style’)
They generalise from the already seen to make predictions.
This is what neural networks (biological and artificial) are good at (unlike conventional computer).
Fault classification in double circuit line
There are mutual coupling between both the circuit.
Positive and negative sequence coupling between two feeders is 5% to 7% only.
But due zero sequence mutual impedance is 50% to 70% of self impedance.
then if fault occurs in phase A1 then effect of it is also in the other phases.
Conclusion:
Finally ANN is used in the both electrical and non electrical type system.
Actually the basic of application of ANN is based on pattern recognition.
In future there is much use of ANN in the field of electrical engineering.