Application of Revised Version of Neural Independent Component Analysis to Classification Problems of Confiscated Methamphetamine
スポンサーリンク
概要
- 論文の詳細を見る
Recently, profiling the chemical substances in illegally distributed drugs has been needed in order to reveal the drug channels. However, this kind of profiling is often difficult because such drugs contain various kinds of impurities and the quantity of these impurities changes. Due to these circumstances, several methods, including a slightly revised ICA (Independent Component Analysis) by a Hebbian learning artificial neural network, were applied for profiling illegally distributed methamphetamine. Eventually, better classification results with the ICA than with other methods were obtained. These results show that ICA could make it easier to profile illegally distributed methamphetamine.
- 公益社団法人日本薬学会の論文
- 2004-12-01
著者
-
OKAMOTO Kousuke
Graduate School of Pharmaceutical Sciences, Osaka University
-
TAKAGI Tatsuya
Graduate School of Pharmaceutical Sciences, Osaka University
-
Kurokawa Ken
Genome Information Research Center Osaka University:research Institute Of Microbial Diseases Osaka U
-
Kurokawa Ken
Genome Information Research Center Osaka University
-
MAKINO Yukiko
Narcotics Control Department, Kanto-Shin'etsu Regional Bureau of Health and Welfare
-
Tanaka Y
Graduate School Of Pharmaceutical Sciences Osaka University
-
TANAKA Yuko
Graduate School of Pharmaceutical Sciences, Osaka University
-
YAMASHITA Noriyuki
Graduate School of Pharmaceutical Sciences, Osaka University
-
MATSUMOTO Tomoko
Faculty of Pharmaceutical Sciences, Osaka University
-
YOKOTA Masahiko
Graduate School of Pharmaceutical Sciences, Osaka University
-
YASUNAGA Teruo
Genome Information Research Center, Osaka University
-
Makino Yukiko
Narcotics Control Department Kanto-shin'etsu Bureau Of Health And Welfare Ministry Of Health La
-
Yasunaga T
Genome Information Research Center Osaka University
-
Yasunaga Teruo
Genome Information Research Center Osaka University
-
Takagi Tatsuya
Graduate School Of Pharmaceutical Sciences Osaka University
-
Takagi Tatsuya
Graduate School Of Pharmaceutical Sciences Osaka University:genome Information Research Center Osaka
-
Okamoto K
Graduate School Of Pharmaceutical Sciences Osaka University
-
Okamoto Kousuke
Graduate School Of Pharmaceutical Sciences Osaka University
-
Yokota Masahiko
Graduate School Of Pharmaceutical Sciences Osaka University
-
Yamashita Noriyuki
Graduate School Of Pharmaceutical Sciences Osaka University
-
Matsumoto Tomoko
Faculty Of Pharmaceutical Sciences Osaka University
-
Matsumoto Tomoko
Faculty Of Horticulture Chiba University
-
Tanaka Yuko
Graduate School Of Pharmaceutical Sciences Osaka University
-
Makino Yukiko
Narcotices Control Department Kanto-shin'etsu Regional Bureau Of Health And Welfare Ministry Of Health Labour And Welfare
関連論文
- Nonlinear classification of hERG channel inhibitory activity by unsupervised classification method
- Nonlinear classification of hERG channel inhibitory activity by unsupervised classification method
- A Rapid and Reliable Solid-Phase Extraction Method for High-Performance Liquid Chromatographic Analysis of Opium Alkaloids from Papaver Plants
- Application of Revised Version of Neural Independent Component Analysis to Classification Problems of Confiscated Methamphetamine
- Preparation of Monoclonal Antibodies Reactive to a Hallucinogenic Drug, Psilocin
- Complete nucleotide sequence of the prophage VT2-Sakai carrying the verotoxin 2 genes of the enterohemorrhagic Escherichia coli O157 : H7 derived from the Sakai outbreak
- Note in Statistical Treatment of Medical and Pharmaceutical Data(METHODS, Advances in Biomedical Science and Engineering)
- Application of Partial Least Square on Quantitative Analysis of L-, D-, and DL-Tartaric Acid by Terahertz Absorption Spectra
- A Survey of Genes Expressed in Mouse Embryonal Carcinoma F9 Cells : Characterization of Expressed Sequence Tags Matching No Known Genes
- A Catalogue of genes in Mouse Embryonal Carcinoma F9 Cells Identified with Exprssed Sequnce Tags^1
- Isolation and Characterization of Retinoic Acid-Inducible cDNA Clones in F9 Cells: A Novel cDNA Family Encodes Cell Surface Proteins Sharing Partial Homology with MHC Class I Molecules^1
- Profiling of Illegal Amphetamine-type Stimulant Tablets in Japan
- Research on the animals described by the three major anthologies in ancient Japan
- New Structure Descriptor in the Structure-Activity Relationship Study on the Suppression of Aryl Hydrocarbon Receptor Transformation by Anthraquinones
- Statistical Evaluation of Single-Photon Emission Computed Tomography Image Using Smoothed Bootstrap Method