Add to ORKGAn identification method for enviromental bacteria is presented, based on neural network elaboration of fatty acid gas-chromatographic data and protein electrophoretic data. The reliability of identification for 99 bacterial strins was 91%, showing that the method is better than a traditional statistical approach
This paper is devoted to enhancing rapid decision-making and identification of lactobacilli from den...
The fatty acid methyl ester composition of a total of 71 marine strains representing the genera Alte...
This paper explores the use of Neural Networks as a novel approach in the implementation of spectral...
Environmental micro-organisms include a large number of taxa and some species that are generally con...
Environmental micro-organisms include a large number of taxa and some species that are generally con...
A method based on artificial neural network (ANN) for monitoring aquatic bacteria which would be use...
Chemotaxonomic identification techniques are powerful tools for environmental micro-organisms, for w...
We present an application of the Neural Network approach to a problem of classification of marine ba...
We propose a new method for classification of marine bacteria. This method uses gaschromatograms, wh...
An identification system for aquatic bacteria which would be useful for aspects ranging from polluti...
Fourier transform infrared spectroscopy (FTIR) and artificial neural networks (ANN’s) were used to i...
Available from British Library Document Supply Centre-DSC:DXN020356 / BLDSC - British Library Docume...
In hospital environments around the world bacterial contamination is prevalence. One of the most com...
Sixteen representatives of three morphologically distinct groups of streptomycetes were recovered fr...
A quadrupole mass spectrometer has been employed to analyse the headspace above bacterial cultures. ...
This paper is devoted to enhancing rapid decision-making and identification of lactobacilli from den...
The fatty acid methyl ester composition of a total of 71 marine strains representing the genera Alte...
This paper explores the use of Neural Networks as a novel approach in the implementation of spectral...
Environmental micro-organisms include a large number of taxa and some species that are generally con...
Environmental micro-organisms include a large number of taxa and some species that are generally con...
A method based on artificial neural network (ANN) for monitoring aquatic bacteria which would be use...
Chemotaxonomic identification techniques are powerful tools for environmental micro-organisms, for w...
We present an application of the Neural Network approach to a problem of classification of marine ba...
We propose a new method for classification of marine bacteria. This method uses gaschromatograms, wh...
An identification system for aquatic bacteria which would be useful for aspects ranging from polluti...
Fourier transform infrared spectroscopy (FTIR) and artificial neural networks (ANN’s) were used to i...
Available from British Library Document Supply Centre-DSC:DXN020356 / BLDSC - British Library Docume...
In hospital environments around the world bacterial contamination is prevalence. One of the most com...
Sixteen representatives of three morphologically distinct groups of streptomycetes were recovered fr...
A quadrupole mass spectrometer has been employed to analyse the headspace above bacterial cultures. ...
This paper is devoted to enhancing rapid decision-making and identification of lactobacilli from den...
The fatty acid methyl ester composition of a total of 71 marine strains representing the genera Alte...
This paper explores the use of Neural Networks as a novel approach in the implementation of spectral...