Welcome to the Learning Concepts of Neural Networks MCQs Page

Dive deep into the fascinating world of Learning Concepts of Neural Networks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Learning Concepts of Neural Networks, a crucial aspect of Neural Networks. In this section, you will encounter a diverse range of MCQs that cover various aspects of Learning Concepts of Neural Networks, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Neural Networks.

Check out the MCQs below to embark on an enriching journey through Learning Concepts of Neural Networks. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Neural Networks.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Learning Concepts of Neural Networks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Learning Concepts of Neural Networks MCQs | Page 1 of 5

Explore more Topics under Neural Networks

01

Basics of Artificial Neural Networks

02

Activation and Synaptic Dynamics

03

Feedforward Neural Networks

04

Feedback Neural Networks

05

Competitive Learning Neural Networks

06

Applications of Artificial Neural Networks

Q1.

What is the name of the model in figure below?

Rosenblatt perceptron model

McCulloch-pitts model

Widrow’s Adaline model

None of the mentioned

Discuss

Answer: (b).McCulloch-pitts model

Q2.

What is nature of function F(x) in the given figure?

linear

non-linear

can be either linear or non-linear

none of the mentioned

Discuss

Answer: (b).non-linear

Q3.

What does the character ‘b’ represents in the below diagram?

bias

any constant value

a variable value

none of the mentioned

Discuss

Answer: (a).bias

Q4.

If ‘b’ in the figure below is the bias, then what logic circuit does it represents?

or gate

and gate

nor gate

nand gate

Discuss

Answer: (c).nor gate

Q5.

When both inputs are 1, what will be the output of the below figure?

either 0 or 1

Discuss

Answer: (a).0

Q6.

When both inputs are different, what will be the output of the below figure?

either 0 or 1

Discuss

Answer: (a).0

Q7.

Which of the following model has ability to learn?

pitts model

rosenblatt perceptron model

both rosenblatt and pitts model

neither rosenblatt nor pitts

Discuss

Answer: (b).rosenblatt perceptron model

Q8.

When both inputs are 1, what will be the output of the pitts model nand gate ?

either 0 or 1

Discuss

Answer: (a).0

Q9.

Does McCulloch-pitts model have ability of learning?

YES

May be YES or NO

Can't Say

Discuss

Answer: (b).NO

Q10.

Who invented perceptron neural networks?

McCullocch-pitts

Widrow

Minsky and papert

Rosenblatt

Discuss

Answer: (d).Rosenblatt

Page 1 of 5

Welcome to the Learning Concepts of Neural Networks MCQs Page

Learning Concepts of Neural Networks MCQs | Page 1 of 5

Explore more Topics under Neural Networks

Basics of Artificial Neural Networks

Activation and Synaptic Dynamics

Feedforward Neural Networks

Feedback Neural Networks

Competitive Learning Neural Networks

Applications of Artificial Neural Networks

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