What are neural networks?

Neural networks are mathematical models that mimic the way the human brain works as closely as possible. As a result, they are used for solving complex tasks and predicting the consequences of certain actions. One of the benefits of neural networks is their ability to improve themselves and record mistakes made in the past.

Scope of neural networks

This area of artificial intelligence is used in many areas that require deep analysis and creativity.

Medicine

Neural networks have made disease detection much faster. They are able to perform analysis and determine the presence of a disease just from a picture.

Art

Nowadays, neural networks are capable of analyzing the work of famous artists, musicians and writers so that they can create masterpieces on their own. For this purpose, they need to be provided with a sufficient amount of input data. And in this case a neural network can draw a picture or write a book.

Search systems

In this case neural networks perform in-depth analysis of data from various websites and identify their content. The information obtained is then correlated with user queries.

Navigation

Neural networks collect all the necessary information that is important for compiling an optimal route. This takes into account the presence of traffic jams, repair work and so on. Upon analysis of the received data the simplest and most convenient route for the driver is created.

Agriculture

At the moment neural networks are not very widespread in this sphere. But it is safe to say that in the future they will help to process crops most effectively. The fact is that neural networks can detect weeds and cultivated plants by photo. And if the system will be installed in a combine harvester, the quality of its work will be significantly improved.

Meteorological forecasts

A neural network is able to receive data from a number of weather stations and analyse all the information. As a result, it is able to produce the most accurate weather forecast possible.

Security system

Security cameras with a neural network have already been installed in many major cities. They make it possible to detect a perpetrator’s face if he is in the field of vision. In addition, neural networks protect systems against viruses and unauthorised access.

How neural networks operate

In layman’s terms, a neural network is a learning system. It consists of several neurons. Each of them processes the information according to certain rules. It allows to carry out the analysis taking into account the maximum number of external factors which ensures the best result.

Is a neuronet important for business

Modern market is permanently changing and is influenced by hundreds of factors. With the help of neural networks you can process all the data quickly and make the best decisions for your business. In addition, algorithms analyse customer behaviour. They compare all the customer’s queries and offer them the right product, taking into account financial capabilities, preferences and other parameters. It is neural networks which are responsible for generating personalised offers. Many online shops now have chatbots that replace live customer service specialists. They instantly provide answers to customer’s questions and save them time.

One should not think that, over time, neural networks will be able to displace humans from all areas of activity in which creativity is valued. Algorithms only help in decision-making and quickly analyse data that would take much longer for a live expert. Thus, a trained neural network can have a positive impact on the success of a business.