Question: What are the advantages of an artificial neural network comparing to the personal computers?

Neural networks offer a number of advantages, including requiring less formal statistical training, ability to implicitly detect complex nonlinear relationships between dependent and independent variables, ability to detect all possible interactions between predictor variables, and the availability of multiple training …

What are the advantages of neural networks over computers?

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.

What are the advantages of using an artificial neural network in problem solving in computer science?

There are various advantages of neural networks, some of which are discussed below:

  • Store information on the entire network. …
  • The ability to work with insufficient knowledge: …
  • Good falt tolerance: …
  • Distributed memory: …
  • Gradual Corruption: …
  • Ability to train machine: …
  • The ability of parallel processing:
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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.

How are artificial neural network different from normal computer?

Another fundamental difference between traditional computers and artificial neural networks is the way in which they function. … Based upon the way they function, traditional computers have to learn by rules, while artificial neural networks learn by example, by doing something and then learning from it.

What are the advantages and disadvantages of artificial neural networks?

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 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.

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.

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What are the disadvantages of artificial neural networks?

Disadvantages of Artificial Neural Networks (ANN)

  • Hardware Dependence: …
  • Unexplained functioning of the network: …
  • Assurance of proper network structure: …
  • The difficulty of showing the problem to the network: …
  • The duration of the network is unknown:

How is neural network alike from computer network?

The neural network is like the computer network because they are both powerful processing machines. They differ because the computer works according to predefined rules and commands, while the neural machine works according to associations, concepts, and images.

What is artificial neural network used for?

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.

How is AI different from traditional programming?

Traditional programming is a manual process—meaning a person (programmer) creates the program. But without anyone programming the logic, one has to manually formulate or code rules. In machine learning, on the other hand, the algorithm automatically formulates the rules from the data.

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