Knowledge Discovery and Data Mining with GMDH-type Polynomial Neural Network Algorithm Proposed algorithms and software will help you to analyze massives of data, find hidden internal relations and build structural and forecasting data models presented in a symbolic form – as simple polynomial equation.
Proposed algorithms and software will help you to analyze masses of data, find hidden internal relations and build structural and forecasting data models presented in a symbolic form – as a simple polynomial equation.
The resulting model can be used to analyze the patterns and for short-term and long-time decisions forecasting.
PNN Discovery Client is a software package specially developed for the PNN algorithms. It consists of separate components that are responsible for different kinds of functionality helpful for data and results representation:
The software is designed to search the structural relations in form of polynomial regression equations as well as linear and non-linear types of arbitrary degree. Get your data structure presentation as simple as a+b*x1+c*x3+a*x43
PNN is one of the best of the GMDH-type neural network algorithms family. It automatically provides us with linear and non-linear polynomial regression models. This self-organizing program is based on a neural network that can analyze the input data, and arrange patterns and forecasts. The program includes tools for building highly accurate predictions based on models found.
PNN Discovery Client
PNN Discovery Client Functionality | Trial(30 days) | Commercial Version(unlimited) |
construction of polynomial regression equationmaximum degreenumber of variables | 1510 | unlimited |
data export | ASCII format | + |
data import | – | + |
formats support | – | + |
saving results in various file formats .xls, .pdf, .html | – | + |
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