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Neural networks as nonlinear structure-activity relationship analyzers. Useful functions of the partial derivative method in multilayer neural networks
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Artificial Neural Networks and Their use in Chemistry
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Infrared Spectral Descriptors for Reaction Yield Prediction: Toward Redefining Experimental Spaces
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Neural Networks in Building QSAR Models
inferred← citeshttps://doi.org/10.1007/bf00125375openalex-snapshot
Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines
inferred← citeshttps://doi.org/10.1007/bf00125376openalex-snapshot
Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines
inferred← citeshttps://doi.org/10.1007/bf02174529openalex-snapshot
New approaches to QSAR: Neural networks and machine learning
inferred← citeshttps://doi.org/10.1007/s10910-005-9011-7openalex-snapshot
Application of binomial coefficients in representing central difference solution to a class of PDE arising in chemistry
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Strengths and Weaknesses of the Backpropagation Neural Network in QSAR and QSPR Studies
inferred← citeshttps://doi.org/10.1016/b978-012213815-7/50007-8openalex-snapshot
Adaptive Resonance Theory Based Neural Networks Explored for Pattern Recognition Analysis of QSAR data
inferred← citeshttps://doi.org/10.1016/b978-012213815-7/50011-xopenalex-snapshot
A New Nonlinear Neural Mapping Technique for Visual Exploration of QSAR Data
inferred← citeshttps://doi.org/10.1016/s0166-1280(97)00129-2openalex-snapshot
Prediction of bond dissociation energies using neural network, statistical, and quantum mechanical approaches
inferred← citeshttps://doi.org/10.1016/s0169-409x(03)00115-7openalex-snapshot
Hierarchy neural networks as applied to pharmaceutical problems
inferred← citeshttps://doi.org/10.1021/acs.jcim.2c01422openalex-snapshot
The (Re)-Evolution of Quantitative Structure–Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods
inferred← citeshttps://doi.org/10.1021/acs.jcim.3c01524openalex-snapshot
When Yield Prediction Does Not Yield Prediction: An Overview of the Current Challenges
inferred← citeshttps://doi.org/10.1021/acs.jcim.7b00274openalex-snapshot
Interpretation of Quantitative Structure–Activity Relationship Models: Past, Present, and Future
inferred← citeshttps://doi.org/10.1021/ci049631topenalex-snapshot
Inhibition of the Tyrosine Kinase, Syk, Analyzed by Stepwise Nonparametric Regression
inferred← citeshttps://doi.org/10.1021/ci940128yopenalex-snapshot
A Neural Device for Searching Direct Correlations between Structures and Properties of Chemical Compounds
inferred← citeshttps://doi.org/10.1021/ci950108bopenalex-snapshot
Development of Neural Network Simulator for Structure−Activity Correlation of Molecules (NECO). Prediction of Endo/Exo Substitution of Norbornane Derivatives and of Carcinogenic Activity of PAHs from 13C-NMR Shifts
inferred← citeshttps://doi.org/10.1080/08839519508945474openalex-snapshot
COMPARISON OF ARTIFICIAL INTELLIGENCE METHODS FOR MODELING PHARMACEUTICAL QSARS
inferred← citeshttps://doi.org/10.1080/10629369308028823openalex-snapshot
How to See Characteristics of Structural Parameters in QSAR Analysis: Descriptor Mapping Using Neural Networks
inferred← citeshttps://doi.org/10.1080/1062936x.2012.664562openalex-snapshot
Linear and non-linear QSAR modelling of juvenile hormone esterase inhibitors
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A Novel MiRNA Detection System Combining TWJ-SDA, Multistep L-TEAM, and CRISPR-Cas3
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Applications of inductive logic programming
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