Abstract: A multi-criteria event detection system, comprising a plurality of sensors, wherein each sensor is capable of detecting a signature characteristic of a presence of an event and providing an output indicating the same. A processor for receiving each output of the plurality of sensors is also employed. The processor includes a probabilistic neural network for processing the sensor outputs. The probabilistic neural network comprises a nonlinear, nor-parametric pattern recognition algorithm that operates by defining a probability density function for a plurality of data sets that are each based on a training set data and an optimized kernel width parameter. The plurality of data sets includes a baseline, non-event, first data set; a second, event data set; and a third, nuisance data set.

Abstract: A multi-criteria fire detection system, comprising a plurality of sensors, wherein each sensor is capable of detecting a signature characteristic of a presence of a fire and providing an output indicating the same. A processor for receiving each output of the plurality of sensors is also employed. The processor includes a probabilistic neural network for processing the sensor outputs. The probabilistic neural network comprises a nonlinear, nor-parametric pattern recognition algorithm that operates by defining a probability density function for a plurality of data sets that are each based on a training set data and an optimized kernel width parameter. The plurality of data sets includes a baseline, non-fire, fist data set; a second, fire data set, and a third, nuisance data set.

Abstract: A multi-signature fire detection method and apparatus, utilizing first and second detectors for detecting first and second fire signatures. The first detector outputs a first signal indicative of the first detected fire signature, and the second detector outputs a second signal indicative of the second detected fire signature. A signal processor is provided for combining the first and second signals using a number of correlations, wherein outputs of the first and second detector means are coupled to the signal processor, and the signal processor compares and combines the first and second signals to a first predetermined reference value, and outputs a fire condition signal if a combination of the first and second signals exceeds the predetermined reference value.