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During the course of the European project Advanced Security for Personal Communication Technologies" ASPeCT, we h a ve developed some rule-based and neural network architectures as a number of diierent fraud detection tools for GSM networks. We h a ve n o w i n tegrated these diierent techniques int o a h ybrid detection tool. We optimized the performance(More)
An experienced surgeant is able to make a prediction about the malignancy of an ovarium tumour by means of the presented medical information (such as medical images, morphology and demographic features). To support this classiication process, we try to automate the prediction by means of a supervised neural network. A neural network is able to deduce(More)
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