Kenneth W Hanck

Works (1)

Updated: July 5th, 2023 15:50

2009 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. (2009, March 12). Journal of the American Society for Mass Spectrometry, Vol. 20, pp. 1303–1310.

By: D. Williams n, A. Kovach n, D. Muddiman n  & K. Hanck n

MeSH headings : Fourier Analysis; Linear Models; Mass Spectrometry / methods; Models, Theoretical; Neural Networks, Computer; Reproducibility of Results; Sensitivity and Specificity
topics (OpenAlex): Mass Spectrometry Techniques and Applications; Analytical Chemistry and Chromatography; Advanced Chemical Sensor Technologies
TL;DR: Artificial neural network calibration in conjunction with automatic gain control (AGC) is utilized in these experiments to formally account for the differences in total ion population in the ICR cell between the external calibration spectra and experimental spectra. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2026) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.