Sentence examples for input architecture from inspiring English sources

Using the AAM methodology from [6], a code can be generated from the static scheduling of the input algorithm on the input architecture (see workflow in Figure 8).

These models are autoregressive and require offshore wave characteristics as input, properties that find their neural network equivalent in the NARX (Nonlinear AutoRegressive model with eXogenous input) architecture.

In this respect, the input architecture is generally "modular".

Furthermore, connectomic analysis has revealed that more spatial and temporal channels converge onto the fly's motion computing neurons than had been predicted by the HRC's two-input architecture (Takemura et al., 2013).

An input shaping architecture for vibration suppression of flexible systems controlled with magnitude saturated actuators is considered.

Finally, control reconfiguration is performed exploiting the inherent redundancy of actuators with the implementation of an adaptive input allocation architecture.

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.

The key aspect of the proposed active inductor is reduced interference, noise, and complexity problems encountered with conventional wide input-tunable output and input tuning architectures.

By automatically adjusting pilot and autopilot control inputs, the architecture avoids overlaps of both control authorities and helps to circumvent the effect of conflicting actions.

By contrast, the two-input CNN architecture Siamese in SIAME was trained so that it minimized the variation between the intra-subject and maximized the variation between inter-subject GEIs.

We believe the cause of the weak performance for GEINet was that the parameter of the one-input CNN architecture was trained so as to maximize the soft-max of the output layer (fc4) node for the same subject's input GEIs.