Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Computer Science On-line Conference, CSOC 2020
Год издания: 2020
Идентификатор DOI: 10.1007/978-3-030-51971-1_35
Ключевые слова: echo state neural networks, field programmable integrated circuits, hyperdimensional calculations, recurrent neural networks
Аннотация: Real-time data processing using recurrent neural networks (NN) is non-trivial task, due to tight timing constraints requirements. It is proposed hardware implementation of recurrent echo state NN (ESN) on the basis of the Cyclone IV FPGA. Advantages of the hardware implementation are high computational parallelism and low power conПоказать полностьюsumption. To solve the problem of neuron weight storage, it is proposed to reduce the space of their values to a set of integers of low capacity. It was determined that the proposed NN model decreases need in hardware resources for the reservoir implementation in 2–3 orders of magnitude in comparison with conventional NN. Modeling results, implementation and testing of the FPGA project confirmed effectiveness of the proposed integer NN in hardware applications #CSOC1120. © 2020, Springer Nature Switzerland AG.
Журнал: Advances in Intelligent Systems and Computing
Выпуск журнала: Vol. 1225 AISC
Номера страниц: 429-437
ISSN журнала: 21945357
Издатель: Springer