Information processing system and neural network utilization for accident management support

Information processing system with data sensor fusion technology together with potential application of neural network is developed. System is designed for operator in the form of Accident Management Support (AMS) with verification and validation (V and V) for cases of severe accident. To this end, primarily noise analysis techniques are used and their merits are merged for exhaustive information extraction in accident cases where the data from sensors may be obscured by drift, modulation so forth or even incomplete. The information from different methodologies are processed in synergetic form (data sensor fusion) by means of statistical distance measures and neural networks with optimal decisions. (orig.)