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

Ricardo Carreño, Verónica Aguilar, Daniel Pacheco, Marco Antonio Acevedo, Wen Yu, María Elena Acevedo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

27 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Páginas (desde-hasta)87-104
Número de páginas18
PublicaciónInternational Journal of Information Technology and Decision Making
Volumen18
N.º1
DOI
EstadoPublicada - 1 ene. 2019

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