Artificial Intelligence Models to Predict the Influence of Linear and Cyclic Polyethers on the Electric Percolation of Microemulsions

This book chapter presents three predictive models, based on artificial neural networks, to determine the percolation temperature of different AOT microemulsions in the presence of different additives (crown ethers, glymes, and polyethylene glycols), which were developed in our laboratory by differe...

Descripción completa

Detalles Bibliográficos

Autores principales:	Alonso-Ferrer, Manuel, Dopazo, Gonzalo Astray, Mejuto, Juan Carlos
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2020
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/72309
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!