Electronic noses (e-noses) employ an array of chemical gas sensors and have been widely
used for the analysis of volatile organic compounds. Pattern recognition provides a higher …

The field of electronic noses, electronic instruments capable of mimicking the human
olfactory system, has developed rapidly in the past ten years. There are now at least 25 …

A new neural network architecture for incremental supervised learning of analog
multidimensional maps is introduced. The architecture, called Gaussian ARTMAP, is a …

This survey samples from the ever-growing family of adaptive resonance theory (ART)
neural network models used to perform the three primary machine learning modalities …

There are many important challenges related to food security analysis by application of
chemical and electrochemical sensors. One critical parameter is the development of reliable …

The stationarity requirement for the process generating the data is a common assumption in
classifiers' design. When such hypothesis does not hold, eg, in applications affected by …

An electronic nose based system, which employs an array of inexpensive commercial tin-
oxide odour sensors, has been used to analyse the state of ripeness of bananas. Readings …

Recent development of technologies (eg, microarray technology) that are capable of
producing massive amounts of genetic data has highlighted the need for new pattern …

The concepts of declarative memory and procedural memory have been used to distinguish
two basic types of learning. A neural network model suggests how such memory processes …

This paper proposes a new brain-computer interface (BCI) design using fuzzy ARTMAP (FA)
neural network, as well as an application of the design. The objective of this BCI-FA design …