Sentence examples for multi-layered network from inspiring English sources

Exact(11)

Create a multi-layered network.

It is a hierarchical multi-layered network.

As we noted above in citing the advantages of building a multi-layered network, shared responsibility means that the idea won't automatically die even if the leadership in the client organization is reshuffled.

The multi-layered network generally uses for accomplishing the global approximation of input-output mapping but sometimes getting stuck into local minima, while the nonlinear radial basis function (RBF) network is based on exponentially decaying that uses for local approximation to input-output mapping.

To close this gap, this paper proposes a multi-layered network approach that enables the assessment of: (i) the different factors that influence connectivity to international markets; and (ii) the extent to which a country's connections matter for its international trade activities.

Combined wireless-wireline service requires a multi-layered network architecture spanning 4G wireless and Wi-Fi capabilities.

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Similar(49)

Learning to learn, also called learning to reinforcement learn, is a family of evolving techniques employing multi-layered networks where lower levels learn about patterns and discern which patterns matter, and higher levels devise strategy given an understanding of how patterns interact.

The Bi-Modal networks (BM) are multi-layered networks that differ from BP and SN because all the hidden nodes are realized by 2 sub-nodes, each equipped with its own input connections: the first sub-node operates according to the descending gradient technique, the second through vectorial quantification.

The second purpose is to identify based on this case analysis what functions are missing in the supply chain coordination mechanism of Toyota Production System, where the coordination is propagating from Toyota to upstream suppliers through the close interaction between the successive layers of its multi-layered supplier network.

PNN is an implementation of a statistical algorithm called Kernel discriminant analysis in which the operations are organized into a multi-layered feedforward network with four layers: input, pattern, summation, and output layers.

First, accounting for a nominal system model, a single network adaptive critic (SNAC) based multi-layered neural network (called as NN1) is synthesized offline for optimal regulation of the nominal system.

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