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Group Method of Data Handling (GMDH) for deep learning, data mining algorithms optimization, fuzzy models analysis, forecasting neural networks and modeling software systems
GMDH offers tools for deep learning, data mining, forecasting, and modeling with self-organizing neural network algorithms.
Automatically build optimal models from your data
This website provides access to the Group Method of Data Handling (GMDH), a method used for deep learning, data mining, and forecasting through self-organizing neural networks. You can explore various algorithms that help detect patterns and optimize model structures automatically, reducing manual intervention. It’s designed for those interested in advanced data analysis and predictive modeling.
You can use the platform to work with different types of models, from polynomials to probabilistic functions, and apply clustering and fuzzy logic techniques. Whether you’re a researcher, data scientist, or developer, the site offers resources like tutorials, code samples, and scientific articles to help you understand and implement GMDH methods in your projects.
The site stands out by focusing on an inductive approach that allows the computer to find the best model structure by sorting through possible solutions. This makes it a useful tool for anyone looking to improve the accuracy of data-driven models and automate the discovery of relationships within complex datasets.
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