Patent ID: 7034701

Claim:
A multi-criteria fire detection system, comprising: a plurality of sensors, wherein each said sensor is capable of detecting a signature characteristic of a presence of a fire and providing an output indicating same; a processor for receiving each of said outputs of said plurality of sensors, said processor including a probabilistic neural network for processing said outputs, and wherein said probabilistic neural network comprises a nonlinear, non-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, and wherein said plurality of data sets includes: a baseline, non-fire, first data set; a second, fire data set; and a third, nuisance data set; whereby said algorithm provides a decisional output indicative of the presence of a fire based on recognizing and discriminating between said data sets and whether said outputs suffice to substantially indicate the presence of a fire as opposed to a non-fire or nuisance situation.