An IoT Expert System Shell in Block-Chain Technology with ELM as Inference Engine

Knowledge society blockchain is one of the most powerful and recent tools to make the internet environment safer and reliable. Manufacturing has traditionally been dominated by standard designs that are mass-produced, due to the fact, that custom production causes additional costs that make it less...

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Veröffentlicht in:International journal of information technology & decision making 2019-01, Vol.18 (1), p.87-104
Hauptverfasser: Carreño, Ricardo, Aguilar, Verónica, Pacheco, Daniel, Acevedo, Marco Antonio, Yu, Wen, Acevedo, María Elena
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container_issue 1
container_start_page 87
container_title International journal of information technology & decision making
container_volume 18
creator Carreño, Ricardo
Aguilar, Verónica
Pacheco, Daniel
Acevedo, Marco Antonio
Yu, Wen
Acevedo, María Elena
description Knowledge society blockchain is one of the most powerful and recent tools to make the internet environment safer and reliable. Manufacturing has traditionally been dominated by standard designs that are mass-produced, due to the fact, that custom production causes additional costs that make it less affordable than mass production. This paper proposes to develop a designer expert system for IoT installation layout designs, using blockchain distributed system based on a machine learning, with users entering data to the expert system by a smart bot software. This expert system will work using extreme learning machine as inference engine; therefore, this is a shell to develop any expert system with fast learning. The whole system is represented by a smart contract with a value linked to the value of the expert system, the more this expert system be quoted on the web, the more the shares of the smart contract will cost.
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subjects Blockchain
Computer networks
Cryptography
Design
Engine blocks
Expert systems
Inference
Internet
Machine learning
Mass production
Neural networks
title An IoT Expert System Shell in Block-Chain Technology with ELM as Inference Engine
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