Classification Algorithms Implementation for Fire Prevention Data on Multiple Wireless Node Sensors
摘要
The Theory of probability is considered as a key of artificial intelligence and specially the probability density. In the paper we raise the Decision Theory that used on the most of WSN (Wireless Sensor Network), it is combined with the probability theory in order to make optimal decisions in critical situations like fire detection. Therefore, we will see a comparison between of the Maximization Likelihood Estimation (MLE), the cumulative sum (CUSUM) and Bayesian inference.