Which of the following is an application of neural network Mcq?

Which of following is application of neural network?

Medicine, Electronic Nose, Security, and Loan Applications – These are some applications that are in their proof-of-concept stage, with the acception of a neural network that will decide whether or not to grant a loan, something that has already been used more successfully than many humans.

Which is the most direct application of neural network Mcq?

Explanation: Wall folloing is a simple task and doesn’t require any feedback. 2. Which is the most direct application of neural networks? Explanation: Its is the most direct and multilayer feedforward networks became popular because of this.

What are the applications of neural network in security?

Neural networks are often the perfect candidate for applications and processes that rely on security, too. For example, a bank processing thousands of credit card transactions may need an automated method of identifying fraudulent transactions.

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Which of the following is an applications of neural networks * 1 point automotive aerospace electronics all of the above?

Which of the following is an Applications of Neural Networks? Explanation: All above are appliction of Neural Networks. 15.

How many types of artificial neural networks are there in Mcq?

2. How many types of Artificial Neural Networks? Explanation: There are two Artificial Neural Network topologies : FeedForward and Feedback.

Which is one of the application of associative memories?

Which is one of the application of associative memories? Explanation: The objective of associative memories is to store association between patterns for later recall of one of patterns given the other, so noisy versions of the same image can be recalled. 8.

Which of the following functions are direct applications of a artificial neural network?

Since artificial neural networks allow modeling of nonlinear processes, they have turned into a very popular and useful tool for solving many problems such as classification, clustering, regression, pattern recognition, dimension reduction, structured prediction, machine translation, anomaly detection, decision making, …

What is BAM Mcq objective?

Explanation: The objective of BAM i.e Bidirectional Associative Memory, is to store a set of pattern pairs and they can be recalled by giving either of pattern as input.

What is machine learning in Mcq?

Explanation: Machine learning is the autonomous acquisition of knowledge through the use of computer programs.

What is meant by artificial neural network?

An artificial neural network is an attempt to simulate the network of neurons that make up a human brain so that the computer will be able to learn things and make decisions in a humanlike manner. ANNs are created by programming regular computers to behave as though they are interconnected brain cells.

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What is Blockchain cybersecurity?

A blockchain is a database that stores data in the form of chained blocks. … This essentially means that data transactions are irreversible. Blockchain technology’s decentralized nature makes it ideal for cybersecurity. Blockchain technology automates data storage, provides data integrity and is transparent.

What is networking in cyber security?

Network Security protects your network and data from breaches, intrusions and other threats. … Network Security involves access control, virus and antivirus software, application security, network analytics, types of network-related security (endpoint, web, wireless), firewalls, VPN encryption and more.

What is neural network example?

A neural network hones in on the correct answer to a problem by minimizing the loss function. … That is true with linear regression, neural networks, and other ML algorithms. For example, suppose m = 2, x = 3, and b = 2. Then our predicted value of y = 2 * 3 + 2 = 8.

What are the algorithms used in neural network?

Let us now see some important Algorithms for training Neural Networks: Gradient Descent — Used to find the local minimum of a function. Evolutionary Algorithms — Based on the concept of natural selection or survival of the fittest in Biology.

What is neural network discuss the application of neural network for solving classification problem?

Neural networks are complex models, which try to mimic the way the human brain develops classification rules. A neural net consists of many different layers of neurons, with each layer receiving inputs from previous layers, and passing outputs to further layers.

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