Sentence examples for functions to transform from inspiring English sources

The membership functions to transform fuzzy output datasets into crisp outputs are constant values (for Takagi-Sugeno approach).

Acharjee and Shahnaz [8] had a study on twelve Cohen class kernel functions to transform EEG data in order to facilitate the time frequency analysis.

Acharjee and Shahnaj [24] used twelve Cohen class kernel functions to transform EEG data in order to facilitate the time frequency analysis.

There are two general approaches that deal with gait with varying speeds: (1) learning mapping functions to transform the gait features from various speeds into a common walking speed and (2) extraction of speed-invariant gait feature.

Conformal mapping is an established tool in engineering that uses the analytic property of complex-variable functions to transform the boundary shape in boundary value problems of Laplace's equation in two dimensions.

Current approaches to gait recognition under various viewing angles can be classified into one of the three major categories: (1) extraction of view-invariant gait feature, (2) generation of three-dimensional (3D) gait information, and (3) learning projection or mapping functions to transform gait features from various views into a common feature space.

Due to the non-normality of the distribution of cities' fear correlations, we use Box-Cox transformation [84] to determine the use of square root function to transform the variable to normality.

Setting 5 used the logarithm-based function to transform similarity value to distance value, s.t.

We then apply an aggregation strategy for the fitness function to transform the multi-objective problem to a uni-objective problem.

We introduce a policer (an intervention user) who uses an intervention function to transform the original non-cooperative game into a new non-cooperative game augmented by the intervention function, in which the users will adjust to play a Nash equilibrium of the augmented game.

SVMs construct a decision hyper plane or set of hyper planes in a high-dimensional feature space that minimizes the margin using a kernel function to transform the data, i.e., separate them based on the largest distance to the nearest training data points.