Sentence examples for model for pattern from inspiring English sources

An explicit rough fuzzy model for pattern classification is proposed in the present paper.

Recently, Deep Convolutional Neural Network (DCNN) has been recognized as the most effective model for pattern recognition and classification tasks.

To develop an accurate prediction model for pattern recognition problems in bioinformatics, one of the key steps is to represent the protein sequences with appropriate descriptors that can truly reflect the intrinsic correlation with the target sequences to be predicted [ 29].

Our model for patterns of polymorphism within group, by ignoring gene flow between geographic regions comprising each group of accessions, underestimates the variance in coalescence times underlying amounts of polymorphism.

Backpropagation (BP) neural networks are widely used nonlinear models for pattern recognition and classification problems.

This is useful both as a means of describing the continuum limits of automata and as an independent foundation for expressing models for pattern dynamics.

We illustrate the power of this approach with convolution-generated motion models for pattern dynamics in developmental biology and excitable media.

In this paper, we propose Markov random field models for pattern recognition, which provide a flexible and natural framework for modelling the interactions between spatially related random variables in their neighbourhood systems.

To facilitate our discussions, we begin with a brief review of the basic elements for the assessment of statistical learning models for pattern classification.

The objective of this work was to develop an individual-specific gait pattern prediction model for gait pattern planning in the robotic gait rehabilitation systems.

Another objective aim is providing a basic practical model for housing pattern design for sedentary nomads.