Title :
Fisher Discriminance of Fault Predict for Decision-Making Systems
Author_Institution :
Coll. of Inf. & Mathematic, Chongqing Jiaotong Univ., Chongqing, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
A new technology of fault prediction was presented based on the neural network and Fisher discriminance in statistics. First, many enough character of running situation of decision-making were extracted from the real-time observation data. Secondly, the FP software systems were designed and the algorithm of FP of decision-making systems was presented. Finally, a simply example indicated that the algorithm is effectively.
Keywords :
decision making; decision support systems; fault diagnosis; neural nets; statistical analysis; FP software systems; Fisher discriminance; decision-making systems; fault prediction technology; neural network; Data mining; Decision making; Educational institutions; Gravity; Information analysis; Knowledge acquisition; Mathematical model; Mathematics; Neural networks; Predictive models; Fault predict; Fisher discriminance; criterion function; neural network; priority principle;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.138
