Sentence examples for architecture output from inspiring English sources

The architecture output also provides a guideline on the appropriate monitoring intervals for applications depending on their resource consumption behavior.

The second, which uses real coding, takes its inspiration from mathematical morphology theory and trains the architectures output by the binary genetic algorithm.

A neural network having a 10-8-4 10-8-4 10-8-4with output larchitectureck and intra-connections betwith the noutputf the output layer has been studied in detail.

The performance of the network was optimized by varying the number of nodes in the hidden layer to achieve the best ANN architecture for output prediction.

Under this architecture, the output approximating function is the nonlinear combination of input feature vector with internal tunable weight vector.

Indeed, in terms of Demner-Fushman and Lin's architecture the output of the work discussed here is analogous to what their Semantic Matcher and Answer Generator modules produce.

Error analysis performed with the FPGA-based system in the image processing examples of edge detection and noise filtering shows that the proposed architecture produces outputs similar to that obtained by software simulation using Matlab.

Introducing a novel architecture for outputs of system, if input light to arrayed waveguide grating consists of wavelengths around 1550.12 nm, proposed system will act as 16 channels demultiplexer with channel spacing of 1.6 nm.

Making computers able to communicate is a formidable technical challenge because different internal architectures produce output in entirely different formats.

Different from state-of-the-art NoC routers, the router has three important characteristics: (1) It employs layered switching, which implements wormhole on top of virtual cut-through (VCT) switching; (2) In contrast to input buffered architectures, it adopts an output buffered architecture; (3) It is single cycle, meaning that the router pipeline takes only one cycle for all flits.

In this context we propose a reduced and comprehensible polynomial neural network (RCPNN) for the task of classification for which partial descriptions have been developed only for a single layer of the PNN architecture and the output of these partial descriptions along with the features are fed to the output layer of the RCPNN having only one neuron.