Quiz 1 Neural Network

Which of the following is true?

(i) On average, neural networks have higher computational rates than conventional computers.

(ii) Neural networks learn by example.

(iii) Neural networks mimic the way the human brain works.

• All of the mentioned are true

• (ii) and (iii) are true

• (i), (ii) and (iii) are true

• None of the mentioned

A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. What will be the output?

• 238

• 76

• 119

• 123

What is the name of the function in the following statement “A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0”?

• Step function

• Heaviside function

• Logistic function

• Perceptron function

The network that involves backward links from output to the input and hidden layers is called _________

• Self organizing maps

• Perceptrons

• Recurrent neural network

• Multi layered perceptron

Which of the following is an application of NN (Neural Network)?

• Sales forecasting

• Data validation

• Risk management

• All of the mentioned

Why is the XOR problem exceptionally interesting to neural network researchers?

• Because it can be expressed in a way that allows you to use a neural network

• Because it is complex binary operation that cannot be solved using neural networks

• Because it can be solved by a single layer perceptron

• Because it is the simplest linearly inseparable problem that exists.

Which of the following is not the promise of artificial neural network?

• It can explain result

• It can survive the failure of some nodes

• It has inherent parallelism

• It can handle noise

Which is true for neural networks?

• It has set of nodes and connections.

• Each node computes it’s weighted input.

• Node could be in excited state or non-excited state.

• All of the mentioned.

A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is?

• 000 or 110 or 011 or 101

• 010 or 100 or 110 or 101

• 000 or 010 or 110 or 100

• 100 or 111 or 101 or 001

Neural Networks are complex ______________ with many parameters.

• Linear Functions

• Nonlinear Functions

• Discrete Functions

• Exponential Functions