Advantages of neural networks

The following are the advantages of using a neural network:

• Good for many types of problems: They work well with most of the complex problems that you might come across.
• They generalize very well: Accurate generalization is a very important feature.
• They are very common: Neural networks have become very common in today's world, and they are readily accepted and implemented for real-world problems.
• A lot is known about them: Owing to the popularity that neural networks have gained, there is a lot of research being done and implemented successfully in different areas, so there is a lot of information available on neural networks.
• Works well with non-clustered data: When you have non-clustered data, neural networks can be used in several situations, such as where the data itself is very complex, where you have many interactions, or where you have nonlinear relationships; neural networks are certainly very powerful and very robust solutions for such situations.