1 / 4

Artificial Neural Network in Data Mining

The term neural network is usually known as the models employed in statistics and artificial intelligence.

femella
Download Presentation

Artificial Neural Network in Data Mining

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Artificial Neural Network in Data Mining

  2. Artificial neural networks are just called a neural network. A neural network contains an interconnected group of artificial neutrons and it performs the processes using a computation. They are used to model complex relationships between the outputs and inputs or to analyses the patterns in data. Theneuralnetwork in data mining is of so similar to biological neural networks, in that the functions are carried out collectively and parallelly by the units. The term neural network is usually known as the models employed in statistics and artificial intelligence.

  3. This neural network which imitates the central nervous system is part of computational neuroscience and theoretical neuroscience. To gather the sections collectively neuralnetwork in data mining is used. Applications The usage of artificial neural networks is improving in recent days. They can be used to conclude the function from observation. It is a highly useful tool in designing a very complicated task or data by hand impractical.

  4. Artificial neural networks are also used to diagnose several types of cancers. It can also diagnose prostate cancer which very difficult to diagnose. These networks can foretell the outcome of a patient with colorectal cancer with accuracy than the multiple clinical trials. Artificial neural network process the data on the way how the human brain does.

More Related