Verifying wine origin: A neural network approach

J Aires-De-Sousa - American journal of enology and …, 1996 - Am Soc Enol Viticulture
Neural networks are powerful computational tools that" learn" with training examples and
have the capability for extrapolating their" knowledge" to new situations. Artificial back …

Computers learn to smell and taste

N Ryman‐Tubb - Expert Systems, 1995 - Wiley Online Library
They all stink: food and drink, perfumery, household products, soaps, shampoos, paints,
manufacturing processes, printing processes, waste products, contaminated air, and …

[图书][B] Mass spectral pattern recognition by feed-forward neural network filtering

TG Thomas Jr - 1997 - search.proquest.com
The feasibility of utilizing small, easily trained artificial neural networks for mass spectral
data processing is demonstrated. The identification of individual components in a mixture of …

[引用][C] Automating Simple Exponential Smoothing Forecasting with a Recurrent Neural Network

S Wu - Sixth, Seventh, and Eighth Workshops on Virtual …, 1996 - ui.adsabs.harvard.edu
Automating Simple Exponential Smoothing Forecasting with a Recurrent Neural Network -
NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Automating …

[引用][C] Department of Computing