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1
Neural Networks in QSAR and Drug Design
Academic Press
James Devillers
neural
networks
network
qsar
devillers
bnn
analysis
figure
compounds
activity
values
molecular
neurons
obtained
cluster
chemicals
clusters
output
kohonen
nonlinear
map
domine
molecules
methods
fuzzy
testing
layer
input
method
relationships
studies
sets
odor
shown
classification
structural
prediction
chemical
clustering
comput
livingstone
mapping
neuron
nicotinic
protein
weights
models
academic
approach
wienke
Year:
1996
Language:
english
File:
PDF, 13.62 MB
Your tags:
0
/
0
english, 1996
2
Structure-Odor Relationships[c] Using neural networks in the estimation of camphoraceous of fruity odors and olfactory thresholds of aliphatic alcohols
Maurice Chastrette
,
Dominique Cretin
,
Chafei El Aidi
compounds
camphoraceous
fruity
odor
methyl
alcohols
pentanol
dimethyl
soapy
network
layer
olfactory
pols
hexanol
predicted
neural
values
chastrette
relationships
heptanol
butanol
classification
prediction
correctly
figure
networks
output
thresholds
global
neurons
aliphatic
calculated
estimated
obtained
musty
contained
correct
floral
odors
range
atoms
classified
comput
metallic
predict
rate
schnabel
sets
threshold
undecanol
Language:
english
File:
DJVU, 298 KB
Your tags:
0
/
0
english
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