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Seven artificial intelligence (AI) tools are reviewed that have proved to be useful with sensor systems. They are: knowledge-based systems, fuzzy logic, automatic knowledge acquisition, neural networks, genetic algorithms, case-based reasoning, and ambient-intelligence. Each AI tool is outlined, together with some examples of its use with sensor systems. Applications of these tools within sensor systems have become more widespread due to the power and affordability of present-day computers. Many new sensor applications may emerge, and greater use may be made of hybrid tools that combine the strengths of two or more of the tools reviewed.
|Publication status||Published - 1 Jan 2015|
FingerprintDive into the research topics of 'Artificial intelligence tools can aid sensor systems: WWW Journal Publication of a copy of the extended paper originally published in Control Engineering in October 2013.'. Together they form a unique fingerprint.
- 2 Finished
21/06/14 → 3/04/17
15/03/13 → 11/03/15