Idea of Using Blockchain Technique for Choosing the Best Configuration of Weights in Neural Networks

The blockchain technique is becoming more and more popular due to its advantages such as stability and dispersed nature. This is an idea based on blockchain activity paradigms. Another important field is machine learning, which is increasingly used in practice. Unfortunately, the training or overtra...

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Main Authors: Alicja Winnicka, Karolina Kęsik
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/12/8/163
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author Alicja Winnicka
Karolina Kęsik
author_facet Alicja Winnicka
Karolina Kęsik
author_sort Alicja Winnicka
collection DOAJ
description The blockchain technique is becoming more and more popular due to its advantages such as stability and dispersed nature. This is an idea based on blockchain activity paradigms. Another important field is machine learning, which is increasingly used in practice. Unfortunately, the training or overtraining artificial neural networks is very time-consuming and requires high computing power. In this paper, we proposed using a blockchain technique to train neural networks. This type of activity is important due to the possible search for initial weights in the network, which affect faster training, due to gradient decrease. We performed the tests with much heavier calculations to indicate that such an action is possible. However, this type of solution can also be used for less demanding calculations, i.e., only a few iterations of training and finding a better configuration of initial weights.
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spelling doaj.art-47e4820fe5634f758bd138b36c4952912022-12-22T03:48:15ZengMDPI AGAlgorithms1999-48932019-08-0112816310.3390/a12080163a12080163Idea of Using Blockchain Technique for Choosing the Best Configuration of Weights in Neural NetworksAlicja Winnicka0Karolina Kęsik1Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, PolandInstitute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, PolandThe blockchain technique is becoming more and more popular due to its advantages such as stability and dispersed nature. This is an idea based on blockchain activity paradigms. Another important field is machine learning, which is increasingly used in practice. Unfortunately, the training or overtraining artificial neural networks is very time-consuming and requires high computing power. In this paper, we proposed using a blockchain technique to train neural networks. This type of activity is important due to the possible search for initial weights in the network, which affect faster training, due to gradient decrease. We performed the tests with much heavier calculations to indicate that such an action is possible. However, this type of solution can also be used for less demanding calculations, i.e., only a few iterations of training and finding a better configuration of initial weights.https://www.mdpi.com/1999-4893/12/8/163algorithmsblockchainmachine learning
spellingShingle Alicja Winnicka
Karolina Kęsik
Idea of Using Blockchain Technique for Choosing the Best Configuration of Weights in Neural Networks
Algorithms
algorithms
blockchain
machine learning
title Idea of Using Blockchain Technique for Choosing the Best Configuration of Weights in Neural Networks
title_full Idea of Using Blockchain Technique for Choosing the Best Configuration of Weights in Neural Networks
title_fullStr Idea of Using Blockchain Technique for Choosing the Best Configuration of Weights in Neural Networks
title_full_unstemmed Idea of Using Blockchain Technique for Choosing the Best Configuration of Weights in Neural Networks
title_short Idea of Using Blockchain Technique for Choosing the Best Configuration of Weights in Neural Networks
title_sort idea of using blockchain technique for choosing the best configuration of weights in neural networks
topic algorithms
blockchain
machine learning
url https://www.mdpi.com/1999-4893/12/8/163
work_keys_str_mv AT alicjawinnicka ideaofusingblockchaintechniqueforchoosingthebestconfigurationofweightsinneuralnetworks
AT karolinakesik ideaofusingblockchaintechniqueforchoosingthebestconfigurationofweightsinneuralnetworks