Optimisation of radial basis and backpropagation neural networks for modelling auto-ignition temperature by quantitative-structure property relationships
- 31 March 1996
- journal article
- Published by Elsevier in Chemometrics and Intelligent Laboratory Systems
- Vol. 32 (2) , 177-191
- https://doi.org/10.1016/0169-7439(95)00088-7
Abstract
No abstract availableKeywords
This publication has 4 references indexed in Scilit:
- Beyond response surfaces: recent developments in optimum experimental designChemometrics and Intelligent Laboratory Systems, 1995
- Robustness analysis of radial base function and multi-layered feed-forward neural network modelsChemometrics and Intelligent Laboratory Systems, 1995
- Quantitative structure—property relationships for auto‐ignition temperatures of organic compoundsFire and Materials, 1994
- Orthogonal least squares learning algorithm for radial basis function networksIEEE Transactions on Neural Networks, 1991