MCQs: Neural Networks & Genetic Algorithms (50 Questions)

A neural network is mainly inspired by

• Computer architecture

• Human nervous system

• Operating systems

• Database systems

The basic processing unit of a neural network is called

• Neuron

• Node

• Processor

• Register

Which component of a neuron controls the output signal?

• Input layer

• Weight

• Activation function

• Bias only

The output of a perceptron is usually

• Continuous

• Binary

• Probabilistic

• Multivalued

A perceptron can solve which type of problems?

• Linearly separable problems

• Non-linearly separable problems

• All types of classification problems

• Only regression problems

Which of the following problems cannot be solved by a single-layer perceptron?

• AND

• OR

• NOT

• XOR

The perceptron learning rule updates weights based on

• Error

• Output only

• Input only

• Bias only

In perceptron algorithm, weight update occurs when

• Output is correct

• Error is zero

• Output is incorrect

• Bias is zero

Multilayer perceptrons contain

• Only input layer

• Only output layer

• One or more hidden layers

• No hidden layers

Multilayer perceptrons are used to solve

• Linear problems only

• Non-linear problems

• Sorting problems

• Database problems