NMR and Bayesian regularized neural network regression for impurity determination of 4-aminophenol.
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[1] Martin T. Hagan,et al. Gauss-Newton approximation to Bayesian learning , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[2] D. Traficante. Optimum tip angle and relaxation delay for quantitative analysis , 1992 .
[3] U. Holzgrabe,et al. NMR spectroscopy in pharmacy. , 1998, Journal of pharmaceutical and biomedical analysis.
[4] D. Hollis. Quantitative Analysis of Aspirin, Phenacetin, and Caffeine Mixtures by Nuclear Magnetic Resonance Spectrometry. , 1963 .
[5] I. Wilson,et al. Direct coupling of chromatographic separations to NMR spectroscopy , 1996 .
[6] F. Kasler. Quantitative Analysis by NMR Spectroscopy . , 1973 .
[7] Mohammad Bagher Menhaj,et al. Training feedforward networks with the Marquardt algorithm , 1994, IEEE Trans. Neural Networks.
[8] Philip E. Gill,et al. Practical optimization , 1981 .
[9] P. Geladi,et al. Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat , 1985 .
[10] R. W. Sears,et al. Fenofibrate raw materials: HPLC methods for assay and purity and an NMR method for purity. , 1998, Journal of pharmaceutical and biomedical analysis.
[11] E. Munson,et al. A Quantitative Method for Determination of Lactide Composition in Poly(lactide) Using (1)H NMR. , 1997, Analytical chemistry.
[12] Comparison of the nuclear magnetic resonance and infrared spectroscopic methods for the quantitative analysis of polydimethylsiloxane , 1975, The Journal of pharmacy and pharmacology.
[13] L. Griffiths. Assay by nuclear magnetic resonance spectroscopy: quantification limits , 1998 .
[14] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[15] J. Saurina,et al. Potentiality of proton nuclear magnetic resonance and multivariate calibration methods for the determination of dermatan sulfate contamination in heparin samples. , 2000, The Analyst.
[16] Sven P. Jacobsson,et al. Algorithmic approaches for studies of variable influence, contribution and selection in neural networks , 2000 .
[17] G. Stockton,et al. Method performance and validation for quantitative analysis by (1)h and (31)p NMR spectroscopy. Applications to analytical standards and agricultural chemicals. , 1998, Analytical chemistry.
[18] A. Derome,et al. Modern Nmr Techniques for Chemistry Research , 1987 .
[19] Ingrid Daubechies,et al. Ten Lectures on Wavelets , 1992 .
[20] H. J. M. Bowen,et al. Limitations in automatic methods , 1974 .
[21] David J. C. MacKay,et al. Bayesian Interpolation , 1992, Neural Computation.