This project contains the following tasks:

1. Further development of our model-based anticipative process control system with respect to the following subtasks:
   1. Data-mining of visual and conventional process data
   2. Implementation of appropriate process models using artificial neural networks
   3. Design, test und fine-tuning of the process evaluation
2. Development of simulated demonstrators for process evaluation and control
3. Development of tools for data-visualization based on neural clustering algorithms
4. Feasibility-analysis for new methods of data-mining to extract control-relevant visual information out of the video-data of a combustion process (ICA and nonlinear PCA)