Titlebook: Advances in Neural Networks - ISNN 2005; Second International Jun Wang,Xiao-Feng Liao,Zhang Yi Conference proceedings 2005 Springer-Verlag

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Stability Analysis and Performance Evaluation of an Adaptive Neural Controllerr problems as well as a potential contributor to the solution. Therefore, the most recent approaches dictate that group therapy must also be context-oriented and multi-systemically oriented. Very early on, Moreno (1946) developed a systemic approach to psychological disorders with his theory of soci

持续

chlorosis

mechanism

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公社

被诅咒的人

Joel Weiss,Vera Nincic,Jason Nolanm the real-time implementation perspective. Thanks to the iterative nature of the NNILC algorithm, it is possible to abort the optimization routine before it reaches the optimum. Taking into account the impact of resource constraints, a feedback scheduling approach is suggested, with the primary goa

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Handlungsbedarfe in der sozialen Arbeit,s characterized by a convex optimization problem, which involves the determination of a few additional tuning parameters. Moreover, the model complexity follows from that of this convex optimization problem. In this paper we introduce the sequential support vector machine for the regression estimati

Fretful

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Jacquie McDonald,Aileen Cater-Steelonlinearity. The Lyapunov synthesis approach and sliding mode method are used to develop a state-feedback adaptive control algorithm by using RBF neural networks. Furthermore, the H.tracking design technique and the sliding mode control method are incorporated into the adaptive neural networks contr