Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map

Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map

This study presents a neural network which uses filters based on logistic mapping (LogNNet). LogNNet has a feedforward network structure, but possesses the properties of reservoir neural networks. The input weight matrix, set by a recurrent logistic mapping, forms the kernels that transform the inpu...

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Bibliographic Details
Main Author: Andrei Velichko
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Electronics
Subjects:
logistic map
constrained devices
IoT
neural network
reservoir computing
handwritten digits recognition
Online Access:https://www.mdpi.com/2079-9292/9/9/1432

Internet

https://www.mdpi.com/2079-9292/9/9/1432

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