Titlebook: Industrial Applications of Neural Networks; Project ANNIE Handbo Ian F. Croall,John P. Mason Book 1992 ECSC — EEC — EAEC, Brussels — Luxemb

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tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topi

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Book 1992justhow it can be achieved. It stresses the comparison betweenneuralnetworks and conventional approaches. Even thenon-specialist reader will benefit from understanding thelimitations as well as the advantages of the new technology.

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harangue

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An Overview of Neural Networks,cted from the variety of currently used names because it is the most popular and widely accepted. Moreover, it is historically justifiable and, although perhaps less accurate than some of the other terms, has an intuitive appeal. These names are used to denote mathematical models of brain function,

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Pattern Recognition,as the production of a set response when a certain pattern is observed on some input sensors. The scope of this chapter has been limited to classification and clustering problems, where it is possible to set clear criteria for success, enabling ready comparison of neural network and conventional met

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Methodology,lete methodology of applying neural networks to industrial applications, as we are not going to concern ourselves with the more detailed aspects of the implementation of neural networks. Thus we will not attempt to give more than the barest of statements concerning the detailed structure of nets: th

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Ian F. Croall,John P. Masonllenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos...More than just a source of “r

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Ian F. Croall,John P. Masonllenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos...More than just a source of “r