In industrial settings where flammable materials are handled, flame detection systems are an important layer of safety programs. False alarms in these systems disrupt operations and can risk desensitizing personnel to alerts. Different flame detection methods have different false alarm profiles in different applications. Advanced flame diagnostic technologies have been and are being developed to enhance these systems, including to reduce false alarms. Among these technologies, artificial neural networks (ANNs) stand out as a promising option, offering false alarm reduction.