SCOPUS 정보 검색 플랫폼

Analyst

Volumn 134, Issue 10, 2009, Pages 2067-2070

On-capillary derivatization using a hybrid artificial neural network-genetic algorithm approach

(5) Riveros, Toni a Hanrahan, Grady b Muliadi, Sarah b Arceo, Jennifer b Gomez, Frank A a

a CALIFORNIA STATE UNIVERSITY (United States)

b CALIFORNIA LUTHERAN UNIVERSITY (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALANINE; PHTHALIC ANHYDRIDE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL REACTION; CHEMICAL STRUCTURE; DERIVATIZATION; ELECTRIC POTENTIAL; GENETIC ALGORITHM; PREDICTION; SYNTHESIS;

EID: 70350270075 PISSN: 00032654 EISSN: 13645528 Source Type: Journal
DOI: 10.1039/b909143b Document Type: Article

Times cited : (5)

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