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An improved LogNNet classifier for IoT application. (arXiv:2105.14412v2 [cs.LG] UPDATED)
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 …
More from arxiv.org / cs.LG updates on arXiv.org
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