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.
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