Prediction and optimization of fireproofing properties of intumescent flame retardant coatings using artificial intelligence techniques
- 27 September 2013
- journal article
- Published by Elsevier BV in Fire Safety Journal
- Vol. 61, 193-199
- https://doi.org/10.1016/j.firesaf.2013.09.006
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Predicting thermal degradation kinetics of nylon6/feather keratin blends using artificial intelligence techniquesPolymer, 2012
- A New Hybrid Algorithm for Traveler Salesman Problem based on Genetic Algorithms and Artificial Neural NetworksInternational Journal of Computer Applications, 2011
- Influences of glass flakes on fire protection and water resistance of waterborne intumescent fire resistive coating for steel structureProgress in Organic Coatings, 2011
- A new intumescent flame retardant containing phosphorus and nitrogen: Preparation, thermal properties and application to UV curable coatingProgress in Organic Coatings, 2011
- Testing fire protective properties of intumescent coatings by in-line temperature measurements on a cone calorimeterProgress in Organic Coatings, 2010
- Prediction of mechanical properties of waste polypropylene/waste ground rubber tire powder blends using artificial neural networksMaterials & Design (1980-2015), 2010
- A Review of Recent Progress in Phosphorus-based Flame RetardantsJournal of Fire Sciences, 2006
- Multilayer Feedforward Neural Network Based on Multi-valued Neurons (MLMVN) and a Backpropagation Learning AlgorithmSoft Computing, 2006
- Intumescent fire-retardant systemsPolymer Degradation and Stability, 1989
- Comprehensive study of the effect of composition on the flame-retardant activity of antimony oxide and halogenated hydrocarbons in thermoplastic polymersEuropean Polymer Journal, 1982