Nature

Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors

To understand impact of input and output parameters during optimization and degree of complexity, in the current study we numerically designed a bubble column reactor with a single sparger in the ...
Nature

Comprehensive input models and machine learning methods to improve permeability prediction

Permeability is one of the most critical reservoir characteristics, and its prediction remains a fundamental challenge for both researchers and petroleum engineers. The complexity of predicting ...

Understanding Input-Output Analysis: Key Features and Types

Discover how input-output analysis reveals the interdependence of industries and their impact on a nation's economy, focusing ...
InfoWorld

Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...