Intelligent systems are systems that, given some data, are able to learn from that data. This makes it possible for complex systems to be modeled and/or for performance to be predicted. In turn, intelligent systems’ functionality can be controlled through learning/training, without the need for a priori knowledge of their structure.
Intelligent Systems for Machine Olfaction: Tools and Methodologies introduces new, state-of-the art applications of intelligent systems to researchers and developers in the area of machine olfaction. Readers will benefit from in-depth analyses of fundamental theories, potential trends, and key literature in the field, making this work both a source of application examples that can be readily implemented and a practical guide for the implementation of solutions in other scenarios.