Obiettivo The aim of ANNIE was to find out which of several generic problem areas, such as pattern recognition, sensor fusion, and adaptive control and optimisation, are best approached using neural networks.Application of neural networks for industry in Europe (ANNIE) aimed to find out which general problem areas are best approached using neural networks. Applications in pattern recognition, autonomous vehicle control and optimisation of airline crew scheduling were developed.Specific application areas have now grown in conditioning monitoring of complex mechnisms by neural network analysis of conventional instrument data. Benefits include the following: earlier warning of failures; analysis of human signatures, leading to a socially acceptable form of automatic identification (biometrics) through automatic signature verification; analysis of finanacial transaction data to identify target classes of behaviour to allow simple quick analysis of customer preference.A sensor device has been designed and constructed which generates 3-dimensional images of surface structures (eg after honing processes) and stores the data in a fast image memory for further automatic data evaluation.The aim of the project was to find out which of several generic problem areas, such as pattern recognition, sensor fusion, and adaptive control and optimization, are best approached using neural networks.A survey on the systematics and capabilities of neural networks, their architecture and applications and hardware available for neural network simulation has been performed. Areas of applications where neural networks might complete or out perform conventional techniques have been selected: image processing and inspection, robotics, optimization and technology transfer.With respect to the inspection work, 2 problem areas related to nondestructive testing were chosen, visual inspection of solder joints and ultrasonic testing of pressure vessels. The work stimulated a large internal programme on graph matching, and now a package called MatchFinder, which enables automatic matching and comparison of gas liquid chromatography (GLC), is being marketed.Neural networks can be of considerable help in the visualization and analysis of multivariate data. Further work has been carried out on NETVision (renamed RENDER) for use as a tool for the pharmaceutical industry to help analyse structure activity relationships in drug design.The robotics work developed a prototype of an autonomous roving vehicle. This work has been found very useful in approaching the problem of collision avoidance.Neural networks have also been found to be an ideal means of monitoring the oscillations of flexible structures and controlling them using a damping system based around a neural network.Work on optimization involved an application for airline end user and crew scheduling problems. A first prototype has been produced, and the follow up work planned aims to produce a crew scheduling product. Applications in banking and finance are also planned to exploit the project's results.Technology transfer has involved the production of a handbook and a neurocomputers and hardware bo ok should be published soon.To do this, the partners prototyped neural network solutions in simulated problems chosen from automatic inspection, condition monitoring, robotics, control and scheduling. Campo scientifico engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehiclesengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsnatural sciencescomputer and information sciencesartificial intelligencepattern recognitionengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programma(i) FP2-ESPRIT 2 - European strategic programme (EEC) for research and development in information technologies (ESPRIT), 1987-1992 Argomento(i) Data not available Invito a presentare proposte Data not available Meccanismo di finanziamento Data not available Coordinatore United Kingdom Atomic Energy Authority (UKAEA) Contributo UE Nessun dato Indirizzo Harwell Laboratory OX11 0RA Didcot Regno Unito Mostra sulla mappa Costo totale Nessun dato Partecipanti (7) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto ALPHA Grecia Contributo UE Nessun dato Indirizzo SALAMINOS STREET, 72-74 17675 KALLITHEA Mostra sulla mappa Costo totale Nessun dato Artificial Intelligence Regno Unito Contributo UE Nessun dato Indirizzo Greycaine Road WD2 4JP Watford Mostra sulla mappa Costo totale Nessun dato British Aerospace plc Regno Unito Contributo UE Nessun dato Indirizzo 11 Strand WC2N 5JT London Mostra sulla mappa Costo totale Nessun dato Centre Technique des Industries Mécaniques (CETIM) Francia Contributo UE Nessun dato Indirizzo 52 avenue Félix Louat 60304 Senlis Mostra sulla mappa Costo totale Nessun dato IBP Pietzsch GmbH Germania Contributo UE Nessun dato Indirizzo Hertzstraße 32-34 76275 Ettlingen Mostra sulla mappa Costo totale Nessun dato KPMG-PEAT MARWICK CONSULTANTS Germania Contributo UE Nessun dato Indirizzo GROSSE GALLUSSTRAßE 10-14 60311 FRANKFURT AM MAIN Mostra sulla mappa Costo totale Nessun dato Siemens AG Germania Contributo UE Nessun dato Indirizzo Paul-Gossen-Straße 100 91052 Erlangen Mostra sulla mappa Costo totale Nessun dato
