Adaptive resonance theory based neural network for supervised chemical pattern recognition (FuzzyARTMAP) Part 2: Classification of post-consumer plastics by remote NIR spectroscopy using an InGaAs diode array-Reference-Cited by-同舟云学术

Adaptive resonance theory based neural network for supervised chemical pattern recognition (FuzzyARTMAP) Part 2: Classification of post-consumer plastics by remote NIR spectroscopy using an InGaAs diode array

Published:1996-03 Issue:2 Volume:32 Page:165-176
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Wienke D.,van den Broek W.,Buydens L.,Huth-Fehre T.,Feldhoff R.,Kantimm T.,Cammann K.

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference21 articles.

2. Qualitative interpretation of sensor patterns

3. Adaptive resonance theory based artificial neural networks for treatment of open-category problems in chemical pattern recognition — application to UV-Vis and IR spectroscopy

4. Classification of autoregressive spectral estimated signal patterns using an adaptive resonance theory neural network

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