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It's our seminar in artificial neural network course, at Faculty Information Technology Engineering, Artificial Intelligent Department. it's about improved EEG Signal of Brain computer interface by using recurrent neural network in building it . actually it's a very interesting project they work on it
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Brain Computer Interface (BCI) QNN
A Direct brain-computer interface is a device that provide the brain
with new, non-muscular communication and control channel
Wolpaw et al.(2002)
Quantum Neural NetworkMohammed Saed Haj Ali Kinda Tarboush
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• Main Titles : QNN
• Brain Computer Interface (BCI) :
- BCI ‘s Applications- How it’s work ?- Phases
• Recurrent Quantum Neural Network (RQNN):
- Quantum Computing- RQNN- Theoretical Concepts of the RQNN Model- RQNN Based Pre-Processing
BCI
Applications
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- Device control :QNN
- Gaming and entertainment:
“Your brain might be your next videogame controller”
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BCI
How it’s work ?
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The Electric Brain
QNNBCI
How it’s work ?
BCI Input and Output Sensory Input
• pre-processing• feature extraction• classification
• fundamental for an efficient BCI system :QNN
pre-processing Phase:
RQNN based pre processing
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Quantum Computing QNN
Double Two Experience :
• Quantum Computing :QNN
• Quantum Computing properties :
Superposition Entanglement
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• Quantum Neural Network:QNN
• Theoretical concepts of the RQNN model:QNN
Schrodinger Wave Equation:
• RQNN based pre processing :QNN
Gaussian Kernal Function :
The potential field :
filtered estimate :
update weights :
• Results :QNN
• Results :QNN
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Thank You for your attention
^_^!
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