MIMOSNN: Software implementation for MIMO sampling neural network

This is a software tool that provides the program implementation for MIMO Sampling Neural Network (SNN) and Wide Learning. MIMO SNN is a novel neural network that combines SISO SNN with SLFNs structure to fill the gap of SISO SNN and trains the neurons with trainable activation functions in SISO SNN instead of weights. Wide Learning is an extended algorithm of MIMO SNN and trains the network by adding and updating the new neurons. The experimental results show that the algorithm has good accuracy and convergence features. The software is beneficial to expand the application prospect of the algorithm in instant training, self-growth, big data, and other aspects.

Authors

Publication Details

Journal
SoftwareX
Published
2024-12-18
DOI
https://doi.org/10.1016/j.softx.2024.102017
Primary Topic
Machine Learning and ELM
Type
article
Field-Weighted Citation Impact
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article

MIMOSNN: Software implementation for MIMO sampling neural network

Lingyan Wu, Gang Yi Cai
SoftwareX
Machine Learning and ELM
article

MIMOSNN: Software implementation for MIMO sampling neural network

Lingyan Wu, Gang Yi Cai
article en

Abstract

This is a software tool that provides the program implementation for MIMO Sampling Neural Network (SNN) and Wide Learning. MIMO SNN is a novel neural network that combines SISO SNN with SLFNs structure to fill the gap of SISO SNN and trains the neurons with trainable activation functions in SISO SNN instead of weights. Wide Learning is an extended algorithm of MIMO SNN and trains the network by adding and updating the new neurons. The experimental results show that the algorithm has good accuracy and convergence features. The software is beneficial to expand the application prospect of the algorithm in instant training, self-growth, big data, and other aspects.

SoftwareXVol. 29
Openalex Percentile: Top 79%
Machine Learning and ELM
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MIMOSNN: Software implementation for MIMO sampling neural network — Lingyan Wu, Gang Yi Cai · SoftwareX (2024) | TGRS Research Map | TGRS