Development of artificial neural filters for pattern recognition in protein sequences

Abstract

Four different artificial neural network architectures have been tested for their suitability to extract and predict sequence features. For optimization of the network weights an evolutionary computing method has been applied. The networks have feedforward architecture and provide adaptive neural filter systems for pattern recognition in primary structures… (More)
DOI: 10.1007/BF00556363

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