NEURAL NETWORKS - A NEW METHOD FOR SOLVING CHEMICAL PROBLEMS OR JUST A PASSING PHASE

被引:627
作者
ZUPAN, J [1 ]
GASTEIGER, J [1 ]
机构
[1] TECH UNIV MUNICH,INST ORGAN CHEM,W-8046 GARCHING,GERMANY
关键词
NEURAL NETWORKS; REVIEW; PROTEIN SECONDARY STRUCTURE; FAULT-DIAGNOSIS; PATTERN-RECOGNITION; CLASSIFICATION; PREDICTION; CAPACITY; SYSTEMS; MEMORY; MODEL; NETS;
D O I
10.1016/S0003-2670(00)80865-X
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Recent work on neural networks in chemistry is reviewed and essential background to this fast-spreading method is given. Emphasis is placed on the back-propagation algorithm, because of the extensive use of this form of learning. Hopfield networks, adaptive bidirectional associative memory, and Kohonen learning are briefly described and discussed. Applications in spectroscopy (mass, infrared, ultraviolet, NMR), potentiometry, structure/activity relationships, protein structure, process control and chemical reactivity are summarized.
引用
收藏
页码:1 / 30
页数:30
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