Learned from Neural Networks

2. Architectures Many problems in data analysis and pattern recognition may be attacked by neural networks. Sometimes this approach is better, sometimes it is worse than the use of alternatives. A general discussion is presented on possibilities, advantages and disadvantages of their use in comparison with more specific approaches. The study of neural networks, once almost a ‘black box’ has given a better understanding of the possibilities of pattern learning. The recent development of more specific methods has been strongly stimulated by this knowledge.

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