Advantages of support vector machine in QSPR studies for predicting auto-ignition temperatures of organic compounds
Author:
Publisher
Elsevier BV
Subject
Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry
Reference48 articles.
1. ASTM Standard Test Method E659-78;ASTM International,2000
2. Quantitative structure?property relationships for auto-ignition temperatures of organic compounds
3. Optimisation of radial basis and backpropagation neural networks for modelling auto-ignition temperature by quantitative-structure property relationships
4. Prediction of Autoignition Temperatures of Organic Compounds from Molecular Structure
5. Optimisation of radial basis function neural networks using biharmonic spline interpolation
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