network structure 
Finally, the network that offers the simplest structure with the best network performance is the one that exhibits the appropriate neural network structure with the corresponding optimal time delay vector.


The network structure is a rectangular grid which, however, increases its size during selforganization.


It turns out that the symmetry of the network structure is already determined by the symmetries of the set of test sequences, indicating that learning a set of elements applied is concerned with finding invariant relations inherent in this set.


The presented benchmark experiments show that the proposed hybrid architecture is able to combine the good properties of MLP and RBF networks resulting fast and efficient learning, and compact network structure.


We show that, in response to the input statistics changes, dynamic RCN improves its original counterpart in incremental learning capability as well as in selforganizing the network structure.


The studies also indicate that stability and reduction in approximation error can be extended to a network with pruning strategy, thereby resulting in a Growing and Pruning (GAP) RBF network, which can implement a more compact network structure.


The new neural network structure demonstrates excellent learning convergence characteristics and requires small memory space.


In our system, weak generalization in rough sets theory and complexity in neural network are avoided while antijamming performance is highly improved and the network structure is also simplified.


The choice of the rich state space demixing network structure allows for the development of potent learning rules, capable of handling most filtering paradigms and convenient extension to nonlinear models.


Therefore, radial basis network structure, which was successfully applied to model temperature drift of fiber optical gyros, was chosen to build the model and the grey neural network.


The dependence of the loss modulus on λ, which contains three parameters, is investigated, and what information on the network structure is contained in these parameters is elucidated.


Voluntary Associations and Social Network Structure: Why Organizational Location and Type Are Important


This process is accompanied by the retardation of the formation of the adhesive network structure and, as a consequence, by a fall in the strength of adhesive joints.


Research on fractal characteristics of urban traffic network structure based on gis


When increasing the number of ants, some changes occurred in the network structure, mainly an increase in the number of edges and vertices, and the progressive emergence of enlarged and highly connected vertices.


It is shown that the number of competitors in equilibrium may not coincide with the socially optimal one, which in turn depends on the network structure.


A model is developed to capture the dynamics that leads to a hierarchical arrangement of roads for a given network structure and land use distribution.


The network structure of the United States inputoutput table


We characterize the equilibrium networks as well as study the effects of network structure on individual behavior.


Due to the network structure the network capacity prices depend nonlinearly on each other.

