Web: http://arxiv.org/abs/2105.14412

Jan. 14, 2022, 2:11 a.m. | Hanif Heidari, Andrei Velichko

cs.LG updates on arXiv.org arxiv.org

In the age of neural networks and Internet of Things (IoT), the search for
new neural network architectures capable of operating on devices with limited
computing power and small memory size is becoming an urgent agenda. Designing
suitable algorithms for IoT applications is an important task. The paper
proposes a feed forward LogNNet neural network, which uses a semi-linear Henon
type discrete chaotic map to classify MNIST-10 dataset. The model is composed
of reservoir part and trainable classifier. The aim of the reservoir part is
transforming the inputs to maximize …

application arxiv for iot

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