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A recognition problem in converting linear programming to network flow models
      
A routing in a network assigns to each ordered pair of nodes a fixed path.
      
When either a node or a link in a fault-tolerant network fails, the communication from one node to another using this faulty element must be sent via one or more intermediate nodes along a sequence of paths determined by this routing.
      
An important and practical problem is how to choose a routing in the network such that inter-mediate nodes to ensure communication are small for any fault-set.
      
The result shows that most inverse network optimization problems with l∞ objective function can be solved in the polynomial time.
      
In this paper, a new model for inverse network flow problems, robust partial inverse problem is presented.
      
In this paper, the discrete-time neural network model of two neurons with piecewise constant argument is considered.
      
The relationship between the order of approximation by neural network based on scattered threshold value nodes and the neurons involved in a single hidden layer is investigated.
      
Linear provable security for a class of unbalanced feistel network
      
After crosslinking the PAA shell and removing the PCL core, "nanocages" made of PAA network were obtained.
      
In this approach, PNIPAM network was formed by radical polymerization covering PCL particles.
      
Hollow spheres of PNIPAM network were then obtained by biodegradation of the PCL core.
      
Electron probe microanalysis of the deposits showed a network structure that results from the surface defects of the cold rolled Ag substrate and the lattice mismatch between substrate and deposit.
      
The analytical results indicate that the water introduced into the dry gel first combines with the hydrophilic groups of the network chains through hydrogen bond forming non-freezable water.
      
After the non-freezable water is saturated, the additional water penetrates the network space and exists simultaneously both in the freezable and free water states until reaching equilibrium swelling.
      
New Algorithm for Fault Superimposed Quantities Based on Superimposed Network
      
The network equations are built up by combining fault superimposed networks (FSIN) with the boundary conditions of FSIQ at the fault point and are solved with the Newton iterative method.
      
Theoretical and experimental study on white light interferometric sensing network with double-ring topology
      
A white-light interferometric fiber-optic sensing network based on the double-ring topology is demonstrated, which can be applied to the measurements of quasi-distributed strain and temperature in a smart structure.
      
In order to increase the multiplexing capacity, decrease the measurement cost of each sensor, and improve the ability of reliability of the sensor network, a double-port interrogating technology was used.
      
 

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