Firstly,the paper utilizes kernel principal component analysis method to realize reduce the dimension of the input vectors and orthogonalize the components of the input vectors.
The ANN starts with simulating cerebric visual thought, and it has wide application foreworld for geological information of underground engineering,taking on strong buzzing, fuzziness, nonlinear.
In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.
In this thesis, PCNN models and its actual application of medical image segmentation are studied.The Pulse Coupled Neuromime (PCN) structure and the mechanism of PCNN are discussed.