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Automatic interpretation of infrared spectra: recognition of aromatic substitution patterns using neural networks

https://doi.org/10.1021/ci00010a021
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inferred← citeshttps://doi.org/10.1002/(sici)1097-461x(1997)64:6<669::aid-qua4>3.0.co;2-uopenalex-snapshot
Molecular geometry and symmetry from a differential geometry viewpoint
inferred← citeshttps://doi.org/10.1002/(sici)1097-461x(1999)74:5<503::aid-qua7>3.0.co;2-kopenalex-snapshot
A fuzzy-set approach to functional-group comparisons based on an asymmetric similarity measure
inferred← citeshttps://doi.org/10.1002/0470027320.s4108openalex-snapshot
Expert Systems
inferred← citeshttps://doi.org/10.1002/0470027320.s4303openalex-snapshot
Discriminant Analysis by Neural Networks
inferred← citeshttps://doi.org/10.1002/0470845015.cca018openalex-snapshot
Chemometrics: Multivariate View on Chemical Problems
inferred← citeshttps://doi.org/10.1002/0470845015.cca054openalex-snapshot
Infrared Data Correlations with Chemical Structure
inferred← citeshttps://doi.org/10.1002/9780470027318.a5612openalex-snapshot
Spectral Databases, Infrared
inferred← citeshttps://doi.org/10.1002/9780470125939.ch2openalex-snapshot
Artificial Neural Networks and Their use in Chemistry
inferred← citeshttps://doi.org/10.1002/9783527615674.ch5openalex-snapshot
Neural Networks and Expert Systems in Molecular Design
inferred← citeshttps://doi.org/10.1002/9783527618279.ch42bopenalex-snapshot
Correlations between Chemical Structure and Infrared Spectra
inferred← citeshttps://doi.org/10.1002/9783527806539.ch5openalex-snapshot
Structure–Spectrum Correlations and Computer‐Assisted Structure Elucidation
inferred← citeshttps://doi.org/10.1002/chem.71704openalex-snapshot
Bond Formation: Shaken, Not Stirred
inferred← citeshttps://doi.org/10.1002/chin.199313301openalex-snapshot
ChemInform Abstract: Automatic Interpretation of Infrared Spectra: Recognition of Aromatic Substitution Patterns Using Neutal Networks.
inferred← citeshttps://doi.org/10.1002/ejoc.201500785openalex-snapshot
Synthesis and Photophysical, Electrochemical and Theoretical Study of Thiazole‐Annelated Phthalocyanines
inferred← citeshttps://doi.org/10.1007/978-1-4615-1869-3_5openalex-snapshot
Curie Point Pyrolysis Mass Spectrometry and Its Application to Bacterial Systematics
inferred← citeshttps://doi.org/10.1007/978-3-642-80199-0_10openalex-snapshot
Data Processing in Chemistry with Neural Networks : An Alternate Way in Cases of Fuzzy Data or Incomplete Models
inferred← citeshttps://doi.org/10.1007/978-94-011-1350-2_8openalex-snapshot
Neural networks in the search for similarity and structure — activity
inferred← citeshttps://doi.org/10.1007/bf01414172openalex-snapshot
CDUL: Class directed unsupervised learning
inferred← citeshttps://doi.org/10.1007/bf02098740openalex-snapshot
Indices for the evaluation of neural network performance as classifier: Application to structural elucidation in infrared spectroscopy
inferred← citeshttps://doi.org/10.1016/0003-2670(94)80258-0openalex-snapshot
Recognition of visual characteristics of infrared spectra by artificial neural networks and partial least squares regression
inferred← citeshttps://doi.org/10.1016/0003-2670(95)00353-2openalex-snapshot
Simple encoding of infrared spectra for pattern recognition Part 2. Neural network approach using back-propagation and associative Hopfield memory
inferred← citeshttps://doi.org/10.1016/0003-2670(96)00203-6openalex-snapshot
Simulation of infrared spectra using artificial neural networks based on semiempirical and empirical data
inferred← citeshttps://doi.org/10.1016/0169-7439(94)00078-wopenalex-snapshot
Partial least squares regression as a multivariate tool for the interpretation of infrared spectra
inferred← citeshttps://doi.org/10.1016/j.cis.2020.102314openalex-snapshot
Toward molecular characterization of asphaltene from different origins under different conditions by means of FT-IR spectroscopy
inferred← citeshttps://doi.org/10.1016/j.fuel.2019.02.057openalex-snapshot
Experimental and mathematical model evaluation of asphaltene fractionation based on adsorption in porous media: Dolomite reservoir rock
inferred← citeshttps://doi.org/10.1016/j.microc.2020.105395openalex-snapshot
Functional groups prediction from infrared spectra based on computer-assist approaches
inferred← citeshttps://doi.org/10.1016/j.molliq.2020.112506openalex-snapshot
Characterizing the wax-asphaltene interaction and surface morphology using analytical spectroscopy and microscopy techniques
inferred← citeshttps://doi.org/10.1016/j.molliq.2021.118128openalex-snapshot
Wettability alteration by surface adsorption of asphaltene molecular in carbonate porous media
inferred← citeshttps://doi.org/10.1016/j.petrol.2019.02.032openalex-snapshot
Experimental and mathematical model evaluation of asphaltene fractionation based on adsorption in porous media: Part 1. calcite reservoir rock
inferred← citeshttps://doi.org/10.1016/j.vibspec.2006.12.002openalex-snapshot
Studying aromatic compounds in infrared spectra based on support vector machine
inferred← citeshttps://doi.org/10.1016/s0003-2670(97)00151-7openalex-snapshot
Advantages of a hierarchical system of neural-networks for the interpretation of infrared spectra in structure determination
inferred← citeshttps://doi.org/10.1016/s0003-2670(97)00663-6openalex-snapshot
Development of neural networks for identification of structural features from mass spectral data.
inferred← citeshttps://doi.org/10.1016/s0003-2670(99)00100-2openalex-snapshot
Automatic classification of infrared spectra using a set of improved expert-based features
inferred← citeshttps://doi.org/10.1016/s0003-2670(99)00865-xopenalex-snapshot
Screening GC-MS data for carbamate pesticides with temperature-constrained–cascade correlation neural networks
inferred← citeshttps://doi.org/10.1016/s0169-7439(00)00070-8openalex-snapshot
Linear and non-linear pattern recognition models for classification of fruit from visible–near infrared spectra
inferred← citeshttps://doi.org/10.1021/ac00072a002openalex-snapshot
Computer-assisted structure elucidation. Part II: Indirect database approaches and established systems
inferred← citeshttps://doi.org/10.1021/ac00072a728openalex-snapshot
COMPUTER-ASSISTED STRUCTURE ELUCIDATION
inferred← citeshttps://doi.org/10.1021/acs.analchem.3c02540openalex-snapshot
Advances in the Application of Artificial Intelligence-Based Spectral Data Interpretation: A Perspective
inferred← citeshttps://doi.org/10.1021/acs.jpclett.5c00658openalex-snapshot
Machine Learning-Based Multispectral Fusion for Analyzing Molecular Structural Features
inferred← citeshttps://doi.org/10.1021/acsomega.0c05483openalex-snapshot
Development of a New Route for Separating and Purifying 4-Ethyl-2-methoxyphenol Based on the Reaction Mechanism between the Chemical and Calcium Ion
inferred← citeshttps://doi.org/10.1021/ci9600263openalex-snapshot
Theorems on Molecular Shape-Similarity Descriptors: External T-Plasters and Interior T-Aggregates
inferred← citeshttps://doi.org/10.1021/ci9601574openalex-snapshot
13C NMR Chemical Shift Prediction of the sp3 Carbon Atoms in the α Position Relative to the Double Bond in Acyclic Alkenes
inferred← citeshttps://doi.org/10.1023/a:1008358311015openalex-snapshot
Relative Local Convexity Approaches for Accessibility Studies of Molecular Regions
inferred← citeshttps://doi.org/10.1070/rc1999v068n07abeh000516openalex-snapshot
Expert systems for structure elucidation of organic molecules by spectral methods
inferred← citeshttps://doi.org/10.1177/00037028241226732openalex-snapshot
Expert System for Fourier Transform Infrared Spectra Recognition Based on a Convolutional Neural Network With Multiclass Classification
inferred← citeshttps://doi.org/10.1177/004051759406400803openalex-snapshot
Using Neural Networks and NIR Spectrophotometry to Identify Fibers
inferred← citeshttps://doi.org/10.1255/jnirs.61openalex-snapshot
Non-Supervised Neural Categorisation of near Infrared Spectra. Application to Pure Compounds
inferred← citeshttps://doi.org/10.12654/jcs.2022.38.6.14openalex-snapshot
Scientific Characterization Analysis of Lacquer and Cashew as Adhesive Materials for Gold-gilding Layer and Consideration of Conservation Schemes: Gilt-bronze Seated Buddha at Sinamsa Temple in Dangin, Korea
inferred← citeshttps://doi.org/10.1346/ccmn.2018.064119openalex-snapshot
Sorption of Diclofenac from Aqueous Solution on an Organobentonite and Adsorption of Cadmium on Organobentonite Saturated with Diclofenac
inferred← citeshttps://doi.org/10.1366/0003702011953531openalex-snapshot
Identification of Chemical Structures from Infrared Spectra by Using Neural Networks
inferred← citeshttps://doi.org/10.1515/hf-2017-0096openalex-snapshot
Demethylation and other modifications of industrial softwood kraft lignin by laccase-mediators
inferred← citeshttps://doi.org/10.3390/chemosensors10080295openalex-snapshot
Chemical Identification from Raman Peak Classification Using Fuzzy Logic and Monte Carlo Simulation
inferred← citeshttps://doi.org/10.5658/wood.2018.46.1.1openalex-snapshot
Analysis of Lacquer and CNSL Using Infrared Spectrometer and Pyrolysis-GC/MS
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