Mcqs

Neural Networks Mcqs

Our 1000+ Neural Networks MCQs (Multiple Choice Questions and Answers) focus on all areas of Neural Networks covering 100+ topics. These topics are chosen from a collection of the most authoritative and best reference books on Neural Networks. One should spend 1 hour daily practicing these MCQs for 2-3 months to learn and assimilate Neural Networks subject comprehensively. This way of systematic learning will prepare anyone easily for Neural Networks exams, contests, online tests, quizzes, MCQ-tests, viva-voce, interviews, and certifications.

 

Neural Networks Multiple Choice Questions Highlights

  • 1000+ Multiple Choice Questions & Answers (MCQs) in Neural Networks with a detailed explanation of every question.
  • These MCQs cover theoretical concepts, true-false(T/F) statements, fill-in-the-blanks, and match the following style statements.
  • These MCQs also cover numerical as well as diagram-oriented MCQs.
  • These MCQs are organized chapterwise and each Chapter is further organized topicwise.
  • Every MCQ set focuses on a specific topic of a given Chapter in Neural Networks Subject.

 

Who should Practice Neural Networks MCQs?

  • Students who are preparing for college tests and exams such as mid-term tests and semester tests on Neural Networks.
  • Students who are preparing for Online/Offline Tests/Contests in Neural Networks.
  • Students who wish to sharpen their knowledge of Neural Networks Subject.
  • Anyone preparing for Aptitude test in Neural Networks.
  • Anyone preparing for interviews (campus/off-campus interviews, walk-in interview,s and company interviews).
  • Anyone preparing for entrance examinations and other competitive examinations.
  • All - Experienced, Freshers and College / School Students.
Latest Popular
Q:

What is asynchronous update in neural netwks?

A) output units are updated sequentially B) output units are updated in parallel fashion
C) can be either sequentially or in parallel fashion D) none of the mentioned
 
Answer & Explanation Answer: A) output units are updated sequentially

Explanation: Output are updated at different time in the networks.

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Category: Electronics & Electrical MCQs
Sub Category: Neural Networks Mcqs

1097
Q:

What is competitive learning?

A) learning laws which modulate difference between synaptic weight & output signal B) learning laws which modulate difference between synaptic weight & activation value
C) learning laws which modulate difference between actual output & desired output D) none of the mentioned
 
Answer & Explanation Answer: A) learning laws which modulate difference between synaptic weight & output signal

Explanation: Competitive learning laws modulate difference between synaptic weight & output signal.

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Category: Electronics & Electrical MCQs
Sub Category: Neural Networks Mcqs

558
Q:

What is true regarding backpropagation rule?

A) it is a feedback neural network B) actual output is determined by computing the outputs of units for each hidden layer
C) hidden layers output is not all important, they are only meant for supporting input and output layers D) none of the mentioned
 
Answer & Explanation Answer: B) actual output is determined by computing the outputs of units for each hidden layer

Explanation: In backpropagation rule, actual output is determined by computing the outputs of units for each hidden layer.

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Category: Electronics & Electrical MCQs
Sub Category: Neural Networks Mcqs

497
Q:

What is the objective of backpropagation algorithm?

A) to develop learning algorithm for multilayer feedforward neural network B) to develop learning algorithm for single layer feedforward neural network
C) to develop learning algorithm for multilayer feedforward neural network, so that network can be trained to capture the mapping implicitly D) none of the mentioned
 
Answer & Explanation Answer: C) to develop learning algorithm for multilayer feedforward neural network, so that network can be trained to capture the mapping implicitly

Explanation: The objective of backpropagation algorithm is to to develop learning algorithm for multilayer feedforward neural network, so that network can be trained to capture the mapping implicitly.

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Category: Electronics & Electrical MCQs
Sub Category: Neural Networks Mcqs

470
Q:

Number of output cases depends on what factor?

A) number of inputs B) number of distinct classes
C) total number of classes D) none of the mentioned
 
Answer & Explanation Answer: B) number of distinct classes

Explanation: Number of output cases depends on number of distinct classes.

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Category: Electronics & Electrical MCQs
Sub Category: Neural Networks Mcqs

384
Q:

Drawbacks of template matching are?

A) time consuming B) highly restricted
C) more generalized D) none of the the mentioned
 
Answer & Explanation Answer: B) highly restricted

Explanation: Point to point pattern matching is carried out in the process.

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Category: Electronics & Electrical MCQs
Sub Category: Neural Networks Mcqs

345
Q:

What’s the main point of difference between human & machine intelligence?

A) human perceive everything as a pattern while machine perceive it merely as data B) human have emotions
C) human have more IQ & intellect D) human have sense organs
 
Answer & Explanation Answer: A) human perceive everything as a pattern while machine perceive it merely as data

Explanation: Humans have emotions & thus form different patterns on that basis, while a machine(say computer) is dumb & everything is just a data for him.

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Category: Electronics & Electrical MCQs
Sub Category: Neural Networks Mcqs

261
Q:

In feedforward network, the associations corresponding to input – output patterns are stored in?

A) activation state B) output layer
C) hidden layer D) none of the mentioned
 
Answer & Explanation Answer: D) none of the mentioned

Explanation: In feedforward network, the associations corresponding to input – output patterns are stored in weights of the network.

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Category: Electronics & Electrical MCQs
Sub Category: Neural Networks Mcqs

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