SCOPUS 정보 검색 플랫폼

Chemistry - A European Journal

Volumn 23, Issue 25, 2017, Pages 5966-5971

Neural-Symbolic Machine Learning for Retrosynthesis and Reaction Prediction

(2) Segler, Marwin H S a Waller, Mark P a,b

a UNIVERSITY OF MÜNSTER (Germany)

b SHANGHAI UNIVERSITY (China)

Author keywords

artificial intelligence; machine learning; retrosynthesis; synthesis design; total synthesis

Indexed keywords

ARTIFICIAL INTELLIGENCE; DEEP LEARNING; DEEP NEURAL NETWORKS; EXPERT SYSTEMS; FORECASTING; PREDICTIVE ANALYTICS;

ORGANIC CHEMISTRY; REACTION PREDICTION; RETROSYNTHESIS; RULE BASED EXPERT SYSTEMS; SYMBOLIC MACHINE LEARNING; SYNTHESIS DESIGN; TOTAL SYNTHESIS; TRANSFORMATION RULES;

LEARNING SYSTEMS;

ARTICLE; ARTIFICIAL INTELLIGENCE; DEEP NEURAL NETWORK; PREDICTION; SYNTHESIS;

EID: 85013399420 PISSN: 09476539 EISSN: 15213765 Source Type: Journal
DOI: 10.1002/chem.201605499 Document Type: Article

Times cited : (483)

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