1995
DOI: 10.1007/bf02040024
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Identification of crystalline structures using Mössbauer parameters and artificial neural network

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Cited by 16 publications
(1 citation statement)
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“…In the present study, we have chosen a hybrid learning [91] (supervised and unsupervised learning) applied to a learning vector quantization (LVQ) network consisting of a self-organizing map [92][93][94]. The number of neurons at the LVQ is ideally three times more than the input layer [85].…”
Section: Applied Annmentioning
confidence: 99%
“…In the present study, we have chosen a hybrid learning [91] (supervised and unsupervised learning) applied to a learning vector quantization (LVQ) network consisting of a self-organizing map [92][93][94]. The number of neurons at the LVQ is ideally three times more than the input layer [85].…”
Section: Applied Annmentioning
confidence: 99%