Sentence examples for inputs to recognize from inspiring English sources

The ANFIS process for variable selection includes evaluating several combinations of input parameters for three cases with 1, 2 and 3 inputs to recognize the most relevant sets.

The least expensive, narrowly targeted systems (e.g., simple organizers) exploit strong expectations about user inputs to recognize, interpret and respond to those inputs; as such they resemble menu-driven systems.

This paper gives a short conceptual description of how to aggregate the points in the state-input space to recognize validated, non-validated and invalidated domains.

After creating a 1 1 simulation environment of the gallery space and sphere, the team began testing a variety of available input methods to recognize and track the viewer's breathing.

On the other hand, Ning et al. [7] explored a multilayer convolutional neural network with the intensities of local patches as the initial input and attempted to recognize five categories: cell wall, cytoplasm, nucleus membrane, nucleus, and outside medium.

Alternatively, this comparison could require additional processing of the visual input in order to recognize the robot as a face.

The event extractors then use grammatical processing (Stage 2) to identify the internal structure of the input sentence, and to recognize that it discusses the gene expression event involving Interleukin 6 (Stage 3).

They are trained to recognize inputs (e.g. peptide sequences) associated with a given output (e.g. binding affinity).

Finally, the low-dimensional eigenvectors are inputted to a classifier to recognize faults.

The HNN is known to be able to recognize input patterns from a set of stored patterns [15, 21].

The ability of stacked auto encoder to learn the underlying features of input data is exploited to recognize human actions.