NN-Tool

Prediction * Simulation * Optimization

Bärmann Software         

 

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NN-Tool - Neural Network Simulator for Process Industries and Chemical Engineering

 

Applications:

Quality Optimization

Quality Assurance

Process Analysis

Data Reconciliation

Plant Optimization

Recipe Optimization

 

 

 

NN-Tool Summary

NN-Tool creates data models based on neural networks. It is especially suited for applications in process industries. NN-Tool is used for modelling by customers like Bayer, BASF, Henkel and Merck.

The main features are:

  • Modelling Efficiency, using extremely fast algorithms, optimal data preprocessing, automatic model optimization and an intuitive user interface.
  • Modelling Precision by automatic structure optimization, i.e. NN-Tool determines independently the optimum network structure and the relevant input parameters.
  • Taylor-made application systems. Eventually you would like to solve problems with your models.

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Contact:

Prof. Dr. Frank Bärmann
Bergiusstrasse 14
D-40589 Düsseldorf
Germany

Tel.:     ++49 211 7489973
Email:   
info@baermann.de

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NN-Tool Abstract

NN-Tool consists of a simulator for creating neural network models and of an application module for interpreting the created models (prediction and optimization respectively).
After provision of data the models can be created very quickly, because NN-Tool takes over independently the scaling transformations as well as the identification of complete data sets, which are necessary for neural nets (NN). The created NNs are of the standard type (feedforward net with one hiddenlayer), which has been proved to be optimal in all practically relevant task requirements . After creating a model the user has the possibility to execute evaluation- and optimization calculations on the basis of the created model. The results are recorded in an Access data base. Therefore also the usual data management methods are available to the user (especially SQL).
The application consists of the three main steps:

  • Data conditioning
  • Net training
  • Net evaluation for prediction and optimization purposes

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Customers

NN-Tool is used by the following companies:

  • Alstom
  • BASF AG
  • Bayer AG
  • Beiersdorf AG
  • Bundesforschungsanstalt Holzwirtschaft
  • Clariant GmbH
  • Degussa
  • Dupont
  • Evonik
  • FH Gelsenkirchen
  • FH Köln
  • FH Osnabrück
  • FH Paderborn
  • Freudenberg Forschungsdienste KG
  • Glatt Ingenieurtechnik GmbH
  • Henkel KGaA
  • Herberts GmbH
  • Hübner GmbH
  • IPG
  • Lucobit AG
  • Merck KGaA
  • R&W Technoconsult
  • RHI
  • Schunk Kohlenstofftechnik
  • STEAG
  • ThyssenKrupp Steel
  • Ticona GmbH
  • Treibacher Industrie AG
  • TU Freiberg
  • Volkswagen AG
  • Wacker Chemie GmbH

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Download

Get a free trial version of NN-Tool 2024 (english/german edition). Just click below:

NN-Tool 2024 demo

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