What is a neural network how can it be used as a tool for market analysis explain with an example?
Table of Contents
- 1 What is a neural network how can it be used as a tool for market analysis explain with an example?
- 2 What are the applications of neural network?
- 3 What is the application of neural network in the industrial companies?
- 4 What is neural network how neural network can be work and what are the advantage and disadvantages of neural network?
What is a neural network how can it be used as a tool for market analysis explain with an example?
“For example, a caller who is speaking with a dental office may ask to ‘schedule an appointment. ‘ The neural network will seek, find and classify that phrase as a conversation, therefore providing marketers with valuable insights into the performance of marketing initiatives.”
What are the applications 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.
Why do we need neural networks?
Neural networks reflect the behavior of the human brain, allowing computer programs to recognize patterns and solve common problems in the fields of AI, machine learning, and deep learning.
How are neural networks used in business?
Artificial Neural Networks can be used in a number of ways. They can classify information, cluster data, or predict outcomes. ANN’s can be used for a range of tasks. These include analyzing data, transcribing speech into text, powering facial recognition software, or predicting the weather.
What is the application of neural network in the industrial companies?
Neural networks can provide highly accurate and robust solutions for complex non-linear tasks, such as fraud detection, business lapse/churn analysis, risk analysis and data-mining.
What is neural network how neural network can be work and what are the advantage and disadvantages of neural network?
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.