Neural Network Modeling Applied to Polyacrylamide Based Hydrogels Synthetized By Single Step Process

• Published in: Polymer-plastics technology and engineering Vol. 47; no. 10; pp. 1061 - 1071
• Main Authors: Curteanu, Silvia, Dumitrescu, Anca, Mihăilescu, Camelia, Simionescu, Bogdan
• Format: Journal Article
• Language: English
• Published: Philadelphia, PA Taylor & Francis Group 01.10.2008; Taylor & Francis
• Subjects: Applied sciences; direct and inverse neural network modeling; Exact sciences and technology; hydrogels, modeling and optimization strategy; Organic polymers; Physicochemistry of polymers; Properties and characterization; Solution and gel properties; swelling degree; Swelling; modeling and optimization strategy; swelling degree; Neural network; Experimental study; Property processing relationship; Modeling; Optimization; Colloidal gel; Free radical polymerization; direct and inverse neural network modeling; hydro-gels; Preparation; Acrylamide polymer; Hydrogel

This paper presents a series of experimental data obtained from the synthesis of polyacrylamide-based hydrogels and a general neural network methodology that accomplishes the modeling and optimization of the polymerization process. Using direct neural network modeling, the variation of the main para...