Sentence examples for generation of functions from inspiring English sources

Exact(3)

Elements of the survivors are randomly recombined to produce a new generation of functions; those are then evaluated for accuracy and simplicity.

A new approach for generation of functions based on application of a multi-gear drive is proposed.

The paper covers design and generation of gear drives with non-circular gears: (a) a gear drive formed by an eccentric involute one and by a non-circular gear; (b) generation of functions by non-circular gears.

Similar(57)

The first generation of function prediction methods performed a simple function transfer via pairwise sequence similarity: that is, the most similar annotated hit was used as the basis of function prediction47.

This approach consists of two parts, part 1 built a new model for the transformation from FRs to DPs in a distributed resource environment; part 2 proposed an achieving algorithm for the generation of Function unit chain sets (FUCSs).

The contributions of this work are: representation of machining states and part transfer functionality, support of multi-tasking machines in adaptive setup merging, development of special function blocks to handle sub-setups and transitions, and finally generation of function-block network for the merged setups.

It contains an optimality statement for computing properties which links two different generations of functions.

Generally, functional redundancy leads to the generation of new functions through relaxation of selective pressure in evolution, as exemplified by duplicated genes.

Gene duplication is classically discussed as leading to neofunctionalization (generation of new functions), subfunctionalization (generation of a varied function), or pseudogenization (loss of the gene and its function).

This idea has immediate appeal since it provides an elegant route to the generation of new functions without compromising essential ancestral gene functions.

Briefly, four strategies were performed either singly or in combination affecting (i) type and weight of membership functions, (ii) generation of membership function variables, (iii) population strategy, and (iv) fuzzy system range and defuzzification method.

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