Cognitive Techniques MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Cognitive Techniques, a fundamental topic in the field of Cognitive Radio. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our Cognitive Techniques MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of Cognitive Techniques mcq questions that explore various aspects of Cognitive Techniques problems. Each MCQ is crafted to challenge your understanding of Cognitive Techniques principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Cognitive Radio tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our Cognitive Techniques MCQs are your pathway to success in mastering this essential Cognitive Radio topic.

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

So, are you ready to put your Cognitive Techniques knowledge to the test? Let's get started with our carefully curated MCQs!

Cognitive Techniques MCQs | Page 5 of 7

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Q41.
Which among the following is used expert systems?

a.

If-then rules

b.

Arithmetic rules

c.

Logical rules

d.

Procedure rules

Discuss
Answer: (a).If-then rules Explanation:Expert systems are enriched with information and use reasoning to solve complex decision making problems. The process is depicted with a set of if-then conditions instead of conventional procedural code.
Q42.
What are the two major units of expert systems?

a.

Knowledge base and performance engine

b.

Performance engine and inference engine

c.

Radio base and performance engine

d.

Knowledge base and inference engine

Discuss
Answer: (d).Knowledge base and inference engine Explanation:Knowledge base is a large storage of facts and rules obtained from experts of a domain. Inference engine uses the knowledge to deduce new solutions and resolve the query presented by the user.
Q43.
Which among the following is considered as disadvantage of expert system?

a.

Fast prototyping

b.

Development process

c.

Maintenance

d.

Knowledge acquisition

Discuss
Answer: (d).Knowledge acquisition Explanation:The process of gathering information for knowledge base is difficult as it required input from highly experienced and valued domain experts. Several tools are being developed to automate the process of collecting relevant information, designing, and maintenance of rules.
Q44.
DENDRAL is an example for expert system.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True Explanation:DENDRAL is a successful implementation of expert system in organic chemistry. It was developed in 1965. It is applied in chemical analysis to predict molecular structure.
Q45.
Which among the following is the basic component of artificial neural networks?

a.

Motors

b.

Neurons

c.

Nephrons

d.

Nuclei

Discuss
Answer: (b).Neurons Explanation:Artificial neural networks are constructed using nodes which imitate the functionality of biological neurons. The network is a collection of algorithms that vaguely meets the performance of human brain in recognition of patterns.
Q46.
What type of connection is present between nodes in neural networks?

a.

Sampled

b.

Not weighted

c.

Weighted

d.

Non-existent

Discuss
Answer: (c).Weighted Explanation:he connection between neurons or nodes is weighted. If the number associated with the weight is positive, then it is an excitatory condition. If the number associated with the weight is negative, then it is an inhibitory condition.
Q47.
What type of approach do artificial neurons employ for computation?

a.

Comparative

b.

Connectionistic

c.

Conservative

d.

Condensed

Discuss
Answer: (b).Connectionistic Explanation:The distributed signal activity being carried out at once through connections may be represented using numbers. The connection is improved based on collected information over time and this process is referred to as learning.
Q48.
What function calculates the value to be given as input to a neuron based on the output obtained by the last processed neuron?

a.

Correlation

b.

Direction

c.

Propagation

d.

Signalling

Discuss
Answer: (c).Propagation Explanation:The propagation function is responsible for determining the input to a neuron in accordance to the output obtained from the previously processed neurons and their connections labelled as weighted sum. A bias term may be included to the outcome of the propagation function.
Q49.
What is the terminology used to describe the connection where a set of neuron in one layer is connected to one neuron in the next layer?

a.

Fully connected

b.

Partially connected

c.

Splitting

d.

Pooling

Discuss
Answer: (d).Pooling Explanation:The various types of connections used to join neurons present in adjacent layers contribute to the organisation of the neural network. When every neuron is connected to every neuron in the next layer, it is called as fully connected. When a set of neurons is connection to one neuron in the next layer, it is called as pooling.
Q50.
Which among the following maybe used for modulation detection in neural networks?

a.

Phase based probability

b.

Time based probability

c.

Time based statistics

d.

Phase based statistics

Discuss
Answer: (c).Time based statistics Explanation:Artificial neural networks may be used for signal classification and modulation detection in cognitive radio. The popular techniques employed for modulation classification is called as time based statistics and frequency analysis. The neurons and complex algorithms make it possible to build and process data in interesting ways.
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