论文信息 - Optimal Associative Memory for Background Correction of Spectra

Optimal Associative Memory for Background Correction of Spectra

A novel artificial neural network has been devised and is evaluated for the background correction of single-scan infrared (IR) spectra. An optimal associative memory (OAM) is an enhanced bidirectional associative memory (BAM). Factoring the weight matrix allows OAMs to be used with high-resolution data on a desktop computer. IR spectroscopy provides a rigorous and practical challenge for evaluating background correction. IR single-scan background spectra are stored in the associative memory

Peter de B. Harrington | Busolo Wa Wabuyele

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