Doi.org/10.1016/j.jasms.2009.02.030

Target Article

Utilizing artificial neural networks in MATLAB to achieve parts-per-billion mass measurement accuracy with a Fourier transform ion cyclotron resonance mass spectrometer.; Williams, D.K., Kovach, A.L., Muddiman, D.C., Hanck, K.W.: ; Journal of The American Society for Mass Spectrometry; 2009; https://doi.org/10.1016/j.jasms.2009.02.030

Article providing comments

Comment on: “Utilizing Artificial Neural Networks in MATLAB to Achieve Parts-Per-Billion Mass Measurement Accuracy with a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer” by D. Keith Williams Jr., Alexander L. Kovach, David C. Muddiman, and Kenneth W. Hanck. J. Am. Soc. Mass Spectrom. 20; Proctor, Charles; ; Journal of The American Society for Mass Spectrometry; 2014-4-01 https://doi.org/10.1007/s13361-013-0805-8

Summary

Note: Opened to append information.