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Nonlinear control system identification is studied using neoteric optimized Least Squares Support Vector Machines (LS-SVM) in this paper. Firstly,a multi-layer adaptive optimizing parameters algorithm is developed for improving learning and generalization ability of least squares support vector machines. According to different learning problems, the(More)
A multi-layer adaptive optimizing parameters algorithm is developed for improving least squares support vector machines (LS-SVM), and a military equipment intelligent cost estimation model is proposed based on the optimized LS-SVM. The intelligent cost estimation process is divided into three steps in the model. In the first step, cost-drive-factor is(More)
OBJECTIVE To investigate the proper dynamic relationship between AVP mRNA expression in PVN and immune response. METHODS Through the establishment of the immuno-enhancement and immunosuppression rat models, the in situ hybridization histochemical methods and the images analytical techniques were used to detect the dynamic variations of AVP mRNA content of(More)
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