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Neural network technology encompasses a class of methods which attempts to mimic the basic structures used in the brain for information processing. The technology is aimed at problems, such as pattern recognition, which are difficult for traditional computational methods. Neural networks have potential applications in many industrial areas such as advanced robotics, operations research, and process engineering. This book is concerned with the application of neural network technology to real industrial problems. It summarizes a three-year collaborative international project called ANNIE (Applications of Neural Networks for Industry in Europe) which was jointly funded by industry and the European Commission within the ESPRIT programme. As a record of a working project, the book gives an insight into the real problems faced in taking a new technology from the workbench to a live industrial application, and shows how it can be achieved. It stresses the comparison between neural networks and conventional approaches.
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