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

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

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:

What is the advantages of artificial neural network?

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 artificial neural networks over conventional computing?

7. What are the advantages of neural networks over conventional computers? 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.

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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 is the most important advantages of using neural networks?

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 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 and disadvantages of neural networks?

Ability to train machine: Artificial neural networks learn events and make decisions by commenting on similar events.

  • Hardware dependence: Artificial neural networks require processors with parallel processing power, by their structure. …
  • Unexplained functioning of the network: This is the most important problem of ANN.

What are the disadvantages of artificial neural network?

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:
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What are the applications of artificial neural network?

As we showed, neural networks have many applications such as text classification, information extraction, semantic parsing, question answering, paraphrase detection, language generation, multi-document summarization, machine translation, and speech and character recognition.