Custom neural network development is an investment in business success. What are they based on, scope and tasks that neural networks solve . Why is it profitable to buy a neural network with installation from us . More on that below.
Neural networks and artificial intelligence: what is it?
What is a neural network. The concept is interpreted in different ways, depending on the area in which it is applied and from what point of view:
- machine learning – as a method of pattern recognition ;
- with mathematical – this is a problem with a large number of parameters ;
- cybernetics – a model of adaptive control of robotics ;
- artificial intelligence is the basis of the natural intelligence model (computational algorithms).
Artificial neural networks are a system (bundle) of neurons, primitive processors. United in a single network, they are able to perform super-complex tasks . The received signals are processed using synapses, which are connected to each other.
Synapse parameters can be set manually – and influence the characteristics of neurons. As a result, obtain the desired results of the transformation of the input information.
What are neural network technologies based on?
NS are based on 3 pillars :
- Data.
- Signs.
- Algorithm.
Data is the foundation. It is on them that the National Assembly is created. May be in the form of emails that require sorting. Or readings from sensors that are used to predict equipment behavior.
Features are characteristics of the data. The number of transactions in the system, the value of securities or the mileage of a car.
An algorithm is a mechanism for triggering. The settings affect the accuracy and speed of training the neural network. But, it will be useless if the data is initially poorly prepared.
Applications and who develops neural networks?
What served as a model for an artificial neural network . This is human natural intuition , the ability to make decisions.
Today, with the help of neural networks, you can:
- recognize speech and text;
- predict the charts of exchange rates and stocks;
- perform semantic search;
- analyze texts.
Neurotechnologies are security and decision support systems, expert evaluation and analysis.
- Healthcare – used in imaging : CT, X-ray, digital research, etc.
- Robotics is for processing large amounts of information, not for physical labor. So, robotic intelligent assistants make it easier to work with data .
- Engineering and telecommunications – to solve such problems as: switching and traffic management , adaptive routing , optimal load distribution of network channels. AI algorithms are also used in the tasks of encrypting and decrypting information.
- Economics and finance – for more accurate prediction of the behavior of charts in financial markets, which increases and stabilizes profitability.
- Advertising and marketing – for example, using AI in a direct mail strategy ( gathering information about user responses and reactions)
- Information technology – for automatic distribution of messages by headings.
- Industry – Recognition technologies are used to protect employees . For example, video analytics systems monitor workers in hazardous industries who wear personal protective equipment, warning them if they are not wearing a hard hat, mask, gloves, or fluorescent vest . He sends a command to his leadership .
- Quality control – solves the problem of detecting defects in the road surface . Engineers can better plan road maintenance and repair with an automated approach to tracking surface defects . Infrastructure is always available through rapid problem detection and efficient maintenance management.
In terms of industrial safety and road quality control, using a neural network to replace people has a number of advantages . Neural networks can be programmed to solve specific problems very quickly , so they can be used to identify hazards and control the quality of roads, compared to using people.
In addition, using a neural network can cost much less than organizing the work of people, especially if the process includes a large amount of data for analysis .
Who develops neural networks. A programmer who creates mathematical models of software based on the type of neural connections in the brain of a living organism. The main difference from computer programs is that neural networks are able to learn, gain experience and improve themselves by improving algorithms. Ordinary programs work according to a written script, performing the same actions.
Tasks that neural networks solve
The goals depend on the type of neural networks:
- Analysis – generate logical solutions, recognize speech, predict trends and price behavior.
- Segmentation – determine the object according to the specified parameters, report the event, collect and update information.
- Classification – sorted into groups, objects and objects are selected according to the visual component.
- Detection – recognize the characteristics of an object in space, calculate and analyze (for example, in logistics).
- Substitution – change, impose masks and elements on video data in real time.
- Tracking – tracking of a vehicle or a person (employee), control of the movement of objects.
Stages of creating a neural network
5 stages of creating a neural network:
- Interview – the more information about the desired end product, the more accurate the result will be. Materials are selected, requirements for the working NS are fixed . Or a ready-made dataset with a similar data set is considered .
- Data preparation and analysis . Analytics and structuring are carried out, a correct model of the National Assembly (architecture and methodology) is compiled .
- Development (training) . Algorithms are created , network training is carried out, based on the collected data. Or development based on ready-made frameworks that solve similar problems.
- Integration of the product into the customer’s business processes – selection of equipment , calculation of the correct placement, creation of smart devices with neural networks or launch on the developer’s servers . Also – software development (data visualization).
- Support – launch , test and training. Performance monitoring in real-life conditions (light, noise, etc.), tuning and bug fixing .
Benefits you will receive?
The National Assembly has long gone beyond the IT sphere. Neural network generation is an investment in business success . With the help of neural networks, a variety of tasks are performed: from optimizing the quality of video material to predictive analytics .
What will you get if you decide to order a neural network from us .
- You can easily calculate the efficiency of each employee, work strategy and indicators . As a result, you will understand in which direction to adjust the business strategy . Which of the employees are growing or, conversely, falling indicators.
- You will personalize content based on the portrait of the target audience. Thus – to keep customers, turn them into regular ones . The level of customer involvement is increasing, which means that the average check is increasing.
- Buyer clustering. With a buyer persona , you can create personalized products and develop effective marketing programs .
- Optimization of technological processes thanks to complex methods – you will be able to understand the degree of production efficiency. And create predictive models to optimize process management.
- Optimization of the urban environment . The neural network turns the chaotic movement of passengers and urban transport into optimized routes and passenger traffic, which increases safety on roads and complex interchanges .
- Forecast of the time of order production or delivery. Correct calculation of logistics using the accumulated data on order fulfillment. Which ultimately affects the profitability of the company .
To summarize, a neural network for business is:
- Saving time . Simultaneous achievement of several goals and forecast indicators.
- Performing complex calculations , which take a long time for experts, are often performed with inaccuracies. Roughly speaking, artificial intelligence helps eliminate the “human factor” .
- Payback – the ability to instantly learn even with hundreds of incoming signals and hundreds of thousands of typical situations.
Custom neural network development is a decision you, as a business owner, should have made yesterday.
