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A novel kind of recurrent neural network (called varying-parameter convergent-differential neural-network, VP-CDNN) is proposed in this paper for online solving linear time-varying equations. Different from traditional gradient-base neural network (called GNN) with scalar-valued error functions, such new VP-CDNN is designed based on matrix-valued or vector-valued error functions and their coefficients...
Subcontractor selection plays a key role for the main contractor of a complex construction project. In this paper, we identify the higher partial semi-variance (HSV) of processing times to express the risk of tardiness, and propose a Mean-HSV model to provide a formal description for the subcontractor selection problem. The objective is to select the optimal combination of subcontractors to minimize...
On the basis of analyzing the access control demands of web application systems, this paper proposed an extended role-based access control model: RBAC4WAS, and gives the formal descriptions of the extended parts. At the same time this paper shows an application of RBAC4WAS and proposes a unified access control solution (UACS), discusses principles of UACS and its implement methods in detail.
Statistical theory is used to help select a margin level. This paper present a prudent margin-setting models to protect futures positions from extreme price movement. Five methods based GARCH models to estimate the current volatility are proposed to estimate Value at risk describing the tail of the conditional or unconditional distributions of two financial return series. Using backtesting of historical...
The main objective of this paper is to numerically investigate the effects of a divert jet on the overall aerodynamic performance of a generic interceptor missile operating at moderate angle attack. A generic missile interceptor configuration consisting of a long, slender body containing tail fins is simulated in this study. Firstly, K-epsiv, K-omega and S-A turbulent model are evaluated in simulating...
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