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A fast and accurate multi-class classification method based on the conventional kernel density estimation (KDE) and K-nearest neighbour (KNN) techniques is proposed. This method estimates the cumulative probabilities of the test sample on its KNNs which may belong to different classes, then selects the maximum weighted class as the classification result. Experiments are carried out to diagnose multiple...
Radial basis function (RBF) neural network is widely used in engineering with its powerful advantage in solving nonlinear problems. But the number of hidden layer as well as the center and standard deviation of radial basis function are difficult to get, so RBF neural network based on ENN2 is proposed to solve the fault diagnosis problem. Firstly, the structure of RBF neural network is introduced,...
Extension expert system is a new kind of expert system, which is formed after the introduction of Extenics. It provides new methods for knowledge representation, matching and reasoning of expert system. First the theoretical framework of Extenics is introduced including the base-element theory, extension set theory and extension logic; Then the extension expert systems is analyzed, including extension...
In model-based diagnosis, a key step is to compute the minimal hitting sets (in brief, MHS) from the minimal conflict sets (in brief, MCS). Taking aim at the problem of existing algorithms, a new combined algorithm which can compute MHS was presented. The algorithm is consisted of three parts: the first part is to build a classified hitting sets tree (in brief, CHS-tree); the second part is the Recursive...
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