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Journal ArticleDOI

Deconvolution of the dielectric spectra of microbial cell suspensions using multivariate calibration and artificial neural networks

TLDR
In this article, artificial neural networks (ANNs) were used to predict both yeast and wheatgerm content from unseen mixture data, and multivariate statistical methods such as partial least squares (PLS) and principal component regression (PCR) could also be used successfully to deconvolute such dielectric spectra.
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This article is published in Bioelectrochemistry and Bioenergetics.The article was published on 1996-03-01. It has received 27 citations till now.

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Citations
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Machine learning

TL;DR: Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis.
Journal ArticleDOI

One stop mycology

TL;DR: This listing covers the period May 1, 1997 through to June 30, 1997, which roughly corresponds with the British Mycological Society's Special Interest Committees.
Journal ArticleDOI

Spectral analysis and fingerprinting for biomedia characterisation.

TL;DR: A review of techniques, mostly based on spectroscopy, with examples taken in the bioengineering field in general is proposed.
Journal ArticleDOI

On-line biomass monitoring of CHO perfusion culture with scanning dielectric spectroscopy.

TL;DR: In this work, dielectric spectroscopy was used to monitor two CHO perfusion culture experiments (B14 and B16) and visual observation of the capacitance spectra indicated that changes in the capacitor relative to frequency were related to the cellular morphology.
References
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Journal ArticleDOI

Machine learning

TL;DR: Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis.
Book

Data Reduction and Error Analysis for the Physical Sciences

TL;DR: In this paper, Monte Carlo techniques are used to fit dependent and independent variables least squares fit to a polynomial least-squares fit to an arbitrary function fitting composite peaks direct application of the maximum likelihood.
Book

Numerical Recipes in C: The Art of Scientific Computing

TL;DR: Numerical Recipes: The Art of Scientific Computing as discussed by the authors is a complete text and reference book on scientific computing with over 100 new routines (now well over 300 in all), plus upgraded versions of many of the original routines, with many new topics presented at the same accessible level.
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