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Testing the identity of hashish samples with ICP-AES and NAA and data handling with neural networks. 2. Data verification with the use of artificial neural networks



Testing the identity of hashish samples with ICP-AES and NAA and data handling with neural networks. 2. Data verification with the use of artificial neural networks



Die Pharmazie 53(1): 39-42



Twenty different hashish samples, which were confiscated in Irak, Iran, Bulgaria, Switzerland, Great Britain and Germany were analysed by means of NAA and ICP-AES. We used modified ANNs to identify a repeated analysed sample out of that data pool. The ANNs are described. Especially the learning rule, a modified backpropagation method, is presented. It is obvious, that neural networks can solve the described classification tasks. There is no significant difference in the power of the applied analytical methods.

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Accession: 047545904

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PMID: 9476257


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