Internal patterns search engine software to build predictive models
Our company implements complex and large-scale projects using leading technologies. Our cutting-edge analytical solution is designed to help you discover hidden internal relationships and build structural and forecasting models with ease.
We created a powerful analytical big data pattern discovery tool. It will help you to discover hidden internal relations and build structural and forecasting analytical models in the form of simple polynomial equations. Utilizing a unique Polynomial Neural Network (PNN) algorithm based on Group Method of Data Handling (GMDH), this software offers unparalleled accuracy in pattern recognition and predictive modelling. Due to its analytical power and high adaptability, this solution can be used in various industries: physical and chemical laboratories, financial and economic analytics, forecast financial instruments, to study insurance risks, medical diagnostics, etc.
The program is designed to search for structural patterns in the form of polynomial regression equations of both linear and nonlinear types of arbitrary degree. The core of the program is a unique polynomial neural network algorithm (PNN) based on Group consideration of arguments in the construction of regression models. The resulting models can be used both to analyse patterns and to predict short-term and long-term decisions. Software provides the ability to display and understand complex data structures in the form of simple polynomial equations (e.g., a + bx1 + cx3 + a*x43).
We utilize group method of data handling (GMDH) for deep machine learning for predictive analytics, data mining algorithms optimization, fuzzy models analysis, forecasting neural networks and modelling software systems. Our development team used Python and C++ programming languages with advanced frameworks and libraries (TensorFlow) to create capable of processing large datasets without performance degradation. We use SQL, NoSQL database to support various numerical data formats for seamless integration.
PNN Soft has been providing development services for more than 20 years. Our team integrates complex and functional solutions for special business needs. If you are interested in the internal relationship analysis software development, leave your request in the form below. We integrate algorithms and software to help you deal with large amounts of numerical data, identify hidden internal relationships and build structure-predictive analytical models in the form of simple polynomial equations.
