Why use artificial neural networks what are its advantages and disadvantages if any )?

Why use artificial neural networks what are its advantages and disadvantages?

The network problem does not immediately corrode. Ability to train machine: Artificial neural networks learn events and make decisions by commenting on similar events. Parallel processing ability: Artificial neural networks have numerical strength that can perform more than one job at the same time.

What is artificial neural network and its advantages?

Advantages of Artificial Neural Networks

Artificial neural networks have the ability to provide the data to be processed in parallel, which means they can handle more than one task at the same time.

Why do we use artificial neural networks?

Artificial Neural Network(ANN) uses the processing of the brain as a basis to develop algorithms that can be used to model complex patterns and prediction problems. … In our brain, there are billions of cells called neurons, which processes information in the form of electric signals.

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What is the disadvantage of neural networks?

Disadvantages include its “black box” nature, greater computational burden, proneness to overfitting, and the empirical nature of model development. An overview of the features of neural networks and logistic regression is presented, and the advantages and disadvantages of using this modeling technique are discussed.

What are the advantages of artificial intelligence?

AI enables the execution of hitherto complex tasks without significant cost outlays. AI operates 24×7 without interruption or breaks and has no downtime. AI augments the capabilities of differently abled individuals. AI has mass market potential, it can be deployed across industries.

Which of the following are the disadvantages of using Knn?

Some Disadvantages of KNN

  • Accuracy depends on the quality of the data.
  • With large data, the prediction stage might be slow.
  • Sensitive to the scale of the data and irrelevant features.
  • Require high memory – need to store all of the training data.
  • Given that it stores all of the training, it can be computationally expensive.

What are the advantages of neural networks ability to learn by example?

Explanation: Neural networks learn by example. They are more fault tolerant because they are always able to respond and small changes in input do not normally cause a change in output. Because of their parallel architecture, high computational rates are achieved.

What is neural network What are the advantages of neural network in AI?

Advantages of Neural Networks:

Neural Networks have the ability to learn by themselves and produce the output that is not limited to the input provided to them. The input is stored in its own networks instead of a database, hence the loss of data does not affect its working.

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What is an artificial neural network and for what types of problems can it be used?

Artificial neural networks are used in sequence and pattern recognition systems, data processing, robotics, modeling, etc. ANN acquires knowledge from their surroundings by adapting to internal and external parameters and they solve complex problems which are difficult to manage.

What are the disadvantages in using a neural network to build a supervised model?


  • Neural networks are black boxes, meaning we cannot know how much each independent variable is influencing the dependent variables.
  • It is computationally very expensive and time consuming to train with traditional CPUs.
  • Neural networks depend a lot on training data.