What is back propagation?
It is another name given to the curvy function in the perceptron
It is the transmission of error back through the network to adjust the inputs
It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn
None of the mentioned
It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn
Neural Networks are complex ______________ with many parameters.
Linear Functions
Nonlinear Functions
Discrete Functions
Exponential Functions
Linear Functions
Which of the following is an application of NN (Neural Network)?
Sales forecasting
Data validation
Risk management
All of the mentioned
All of the mentioned
What is the advantage of basis function over mutilayer feedforward neural networks (MLFFNN)?
Training of basis function is faster than MLFFNN
Training of basis function is slower than MLFFNN
Storing in basis function is faster than MLFFNN
None of the mentioned
Training of basis function is faster than MLFFNN
What consist of a basic counterpropagation network?
A feedforward network only
A feedforward network with hidden layer
Two feedforward network with hidden layer
None of the mentioned
Two feedforward network with hidden layer
What is true regarding backpropagation rule?
It is also called generalized delta rule
Error in output is propagated backwards only to determine weight updates
There is no feedback of signal at any stage
All of the mentioned
All of the mentioned
A perceptron is a --------------------------------.
Feed-forward neural network
Back-propagation alogorithm
Back-tracking algorithm  
Feed Forward-backward algorithm
Feed-forward neural network
The network that involves backward links from output to the input and hidden layers is called as ____
Self organizing maps
Perceptrons
Recurrent neural network
Multi layered perceptron
Recurrent neural network
Which of the following statement are true?
Feedforward networks are also used for autoassociation & pattern storage
Feedback networks are also used for autoassociation & pattern storage
Both of them
None of the above
Feedback networks are also used for autoassociation & pattern storage
What is transfer function?
It is another name given to the curvy function in the perceptron
It is the transmission of error back through the network to adjust the inputs
It is applied on the weighted sum of input values to produce the output values
None of the mentioned
It is applied on the weighted sum of input values to produce the output values