title: [Application of FAM networks in recommendation of mobile phase for RP-HPLC].
abstract: OBJECTIVE
  To establish expert system to recommend solvent strength in RP-HPLC by using FAM (fuzzy associate memorizer) networks.
  
  
  METHODS
  Symbolic rules reflecting the quantitative relationship among molecular structure, capacity factors and solvent strength in RP-HPLC were extracted from trained radial basis function networks. Then FAM networks consisting of these rules were built to recommend mobile phase strength for RP-HPLC.
  
  
  RESULTS
  The validation results of the system by monocomponent and mutilcomponent drug samples were satisfied.
  
  
  CONCLUSIONS
  The mobile phase recommendation system for RP-HPLC analysis of drugs showed reliable performance.
authors.affiliation: Center for Instrumental Analysis, China Pharmaceutical University, Nanjing 210009, China.
authors.forename: S G
authors.initials: SG
authors.lastname: Gao
authors.forename: R
authors.initials: R
authors.lastname: Li
authors.forename: B R
authors.initials: BR
authors.lastname: Xiang
mesh_terms: D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D003907:Dexamethasone / Q000032:analysis; D004338:Drug Combinations; D004656:Enalapril / Q000032:analysis; D005103:Expert Systems; D017143:Fuzzy Logic; D006852:Hydrochlorothiazide / Q000032:analysis; D016571:Neural Networks, Computer
chemical_list: D004338:Drug Combinations; D006852:Hydrochlorothiazide; D004656:Enalapril; D003907:Dexamethasone