The current work describes the algorithm for obtaining porous ammonium nitrate granules in granulation plants using devices with different fluidized bed configurations. We present brief theoretical foundations for cal...
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The problem of automation of efficient algorithm choice for solving linear algebra problems with a priori undefined structure of sparse matrices is considered. An approach of matrix classification and selection of an ...
详细信息
The problem of automation of efficient algorithm choice for solving linear algebra problems with a priori undefined structure of sparse matrices is considered. An approach of matrix classification and selection of an ...
详细信息
ISBN:
(数字)9781728161440
ISBN:
(纸本)9781728161457
The problem of automation of efficient algorithm choice for solving linear algebra problems with a priori undefined structure of sparse matrices is considered. An approach of matrix classification and selection of an effective algorithm based on a visual portrait of a sparse matrix using a neural networks is proposed. Datasets for training of convolutional neural network "Sparse Matrix Vision" were prepared. Computational experiments, conducted in a scope of a current research showed that the algorithm chosen by neural network is effective for a specific problem.
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