559 search results - page 26 / 112 » Neural methods for non-standard data |
SOFTCO
2004
Springer
15 years 5 months ago
2004
Springer
The computational identification of genes in DNA sequences has become an issue of crucial importance due to the large number of DNA molecules being currently sequenced. We present ...
IJCAI
1997
15 years 1 months ago
1997
This paper presents an algorithm for extract ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
ICAT
2006
IEEE
15 years 5 months ago
2006
IEEE
When a fault such as unbalance occurs in a turbo-generator set, sensors should be put on its bearing to detect vibration signals for extracting fault symptoms, but the relationshi...
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IDA
2008
Springer
14 years 12 months ago
2008
Springer
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— Over time, neural networks have proven to be extremely powerful tools for data exploration with the capability to discover previously unknown dependencies and relationships in ...