Журнал
Научно-технический вестник информационных технологий, механики и оптики
УДК:004.272:004.032.26
Номер:1 (71)
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The parallel realization in CUDA technology of the training RBFNN algorithm, based on the sequential correction of centers, widths and weights and on the weights correction using an algorithm for minimizing a quadratic functional of the conjugate gradient method is proposed. Comparison results of the RBFNN training time on different CPU and GPU are given proving parallel realization efficiency.