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Ch6 662 : Neural Networks (Application of ANN (Image processing &…
Ch6 662 : Neural Networks
Definition ANN
An artificial neural network consists of a number of very simple processors, also called neurons, which are likewise to the biological neurons in the brain
Overall function of ANN is determined by
The network topology
The individual neuron characteristic
The learning/training strategy
The training data
Application of ANN
Image processing & Computer vision
Signal processing
Pattern recognition
Medicine
Military system
Financial system
Planning, control & search
Power system
Activation Function
Types
Step function
Sign function
Sigmoid function
Linear function
ANN Learning
Momentum
Gives stabilizing effect on training
Helps the learning to receive smooth curve
Learning Rate
Helps accelerate convergence of back propagation
If the change of the sum of squared errors has the same algebraic sign for several consequent epochs, then the learning rate parameter, "a", should be increased
If the algebraic sign of the change of the sum of squared errors alternates for several consequent epochs, then the learning rate parameter, 'a', should be decreased
Hopfield Network
The Hopfield network represents an autoassociative type of memory − it can retrieve a corrupted or incomplete memory but cannot associate this memory with another different memory
Types
Forward propagation
Back propagation