Artificial neural networks: vital information to know

Posted on Jan 06, 2023 at 10:01 PM

Artificial neural networks are one of the most common technologies in the world and are used in many industries and companies; they are called synthetic neurons because their work is similar to human neurons in the brain.

The following profound question is often asked in artificial intelligence, an artificial neural networks benefit other areas? The answer certainly can offer an excellent benefit now, and the benefit will be more significant in the future.

This article will explain artificial neural networks, their operation, and some of their most famous practical applications in modern reality.

What are Artificial neural networks?

NNS neural networks are one of many AI technologies consisting of many elements (networks) called nodes or neurons that mimic the functioning of neurons within the human brain based on highly complex mathematical equations and formulas.

Artificial neural networks can learn like human brain learning, using different and complex algorithms and then combining them. It can learn by comparing the behaviours or actions that occur with those stored in them.

Artificial neural networks are synthesised in a way inspired by the composition of neurons in the brain. Many computers are linked to treatment elements in several layers, forming the so-called neural networks.

Having learned the concept of artificial neural networks, let us briefly examine the operation's principle.

What is the function of artificial neural networks?

Artificial neural networks are mainly designed to mimic the functioning of human brain neurons. Thus, the modus operandi is similar, where neural networks often contain three units -- which may have more -- inputs, hidden units, and outputs, interconnected and arranged in parallel. Each unit containing neurons, each unit's work can be summarised as follows:

• Unit (layer) Input:

It can be likened to the dysphoria of the human brain, a set of information and data stored within the neural network so that it can predict what it needs to do.

• Hidden Unit:

We can liken this unit to the cell in the human body, which is a middle stage between inputs and outputs, and represents the CPU in the neural network, where the data and information you receive from the input unit are processed based on how much the node connects each other (but to date no one knows precisely how to process it.

• Output Unit:

It can be likened to a screen that displays the results of previous processes, where results can be seen and evaluated to see whether they match predictions or not, given the inability to know how data are processed.

As a young child learns with their senses and improves them over time and adequate periods, this is also the ann neural network system, which is initially mistaken and thus enhances his work and with continuous training up to the required accuracy, so when any artificial technology or synthetic network system is introduced, many problems will arise.

You must now be wondering what neural network uses, which is what the next paragraph will answer.

The most popular applications of the artificial neural network system:

The uses and types of artificial intelligence are many. The types and benefits of artificial neural networks are many as well. In various works and areas, the following are examples of the most. 

Important and famous uses:

• Marketing and e-commerce:

Artificial neural networks are used for different goals within marketing or e-commerce; for example, many global e-commerce platforms, such as Amazon, use neural networks to showcase their products relevant to existing or potential customers, and neural networks can remember user behaviour to determine the best products they might buy.

Neural networks can also predict international currency exchange rates, such as the dollar and euro and cryptocurrencies, such as bitcoin and Ethereum.

In marketing, the neural network system helps marketers find new customers, increase access to them, help them create content and anticipate the direction the market will take, and find the best marketing strategy for them.

• Increased sales:

Neural networks help retail and wholesale companies increase their sales by predicting future customer demand and what product or service the customer prefers to buy and determining how many products to store in warehouses.

Construction of machinery, vehicles, and equipment:

Artificial intelligence and neural network systems are used in manufacturing machinery and heavy and light equipment. The most famous example is Tesla, which uses neural networks in the electric vehicle industry, and in the construction of automated drivers within its vehicles or aircraft, where mechanical drivers identify the best and most minor crowded roads.

• Security and protection:

Industrial neural networks are used for security objectives, such as fraud detection, identifying annoying or unwanted emails, protecting users' data, and examining and detecting the presence of deep viruses or malware groups.

• Insurance:

The neural network system is also used in insurance, where neural networks can predict the likelihood of losing employees or not losing, and thus the ability to adjust and adjust premiums in the future.

• Banks and funds:

Banks heavily use artificial intelligence and synthetic neural networks to automate conversions between them and finance economic projects.

Other uses:

The neural network can do multiple other things, for example:

Predicting business failure or success, detecting fraud, health care services (one of the most challenging uses), and risk assessment.

These were the most important and famous artificial neural network system uses. To learn more information, do not hesitate to attend Artificial Intelligence for Business and Organisations training in London to help you understand the synthetic neural network closely and master the strategies for applying it accurately.

In conclusion, 

as everyone sees it, artificial intelligence and artificial neural networks are the future for most businesses and fields, constantly, so all those who will not learn to use them will stay behind.