Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Daoying Pi"'
Publikováno v:
Neurocomputing. 71:1566-1577
Based on Lyapunov-Krasovskii functional or Lyapunov-Razumikhin functional method and invariant set principle, we presented a new method to estimate the domain of attraction for general recurrent neural networks with time-varying delays. Convex optimi
Publikováno v:
Chinese Journal of Chemical Engineering. 15:691-697
Multi-kernel-based support vector machine (SVM) model structure of nonlinear systems and its specific identification method is proposed, which is composed of a SVM with linear kernel function followed in series by a SVM with spline kernel function. W
Publikováno v:
Journal of Central South University of Technology. 14:701-707
Robustly stable multi-step-ahead model predictive control (MPC) based on parallel support vector machines (SVMs) with linear kernel was proposed. First, an analytical solution of optimal control laws of parallel SVMs based MPC was derived, and then t
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 54:912-924
In this paper, a new Lyapunov functional-based method is proposed for the stability analysis of delayed cellular neural networks (DCNN). Global exponential stability conditions are obtained for the general DCNN, the Hopfield neural networks (HNNs), a
Publikováno v:
Neurocomputing. 70:952-959
An adaptive inverse control algorithm is proposed by combining fast online support vector machine regression (SVR) algorithm with straight inverse control algorithm. Because training speed of standard online SVR algorithm is very slow, a kernel cache
Publikováno v:
Chinese Journal of Chemical Engineering. 14:65-72
Key variable identification for classifications is related to many trouble-shooting problems in process industries. Recursive feature elimination based on support vector machine (SVM-RFE) has been proposed recently in application for feature selectio
A Parameter-Dependent Anti-windup Compensation Design for LPV systems Subject to Actuator Saturation
Publikováno v:
2006 Chinese Control Conference.
Different from the conventional constant anti-windup compensation compensator design, the proposed scheme in this paper depends on the time-varying parameters to reduce the conservatism in obtaining the best performance of the closed-loop system subj
Publikováno v:
Rough Sets and Knowledge Technology ISBN: 9783540362975
RSKT
RSKT
Recursive feature elimination based on non-linear kernel support vector machine (SVM-RFE) with parameter selection by genetic algorithm is an effective algorithm to perform gene selection and cancer classification in some degree, but its calculating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::324aab8bd95edf95dd8d854f9fa5020c
https://doi.org/10.1007/11795131_116
https://doi.org/10.1007/11795131_116
Publikováno v:
2006 6th World Congress on Intelligent Control and Automation.
As to the difficulty in low-quality fingerprint verification, an efficient algorithm of Hough transform-based fingerprint matching is developed. Firstly, minutiae vectors are established and classified to save according to vector modules. According t
Publikováno v:
2006 IEEE International Conference on Industrial Technology.
Recently, self-calibration algorithms that use only the information in the image have been actively researched. But most algorithms require bundle adjustment in the projective reconstruction or in the nonlinear minimization. In some vision systems, t